diff --git a/.github/workflows/native_full_build.yml b/.github/workflows/native_full_build.yml
new file mode 100644
index 0000000..563d4d9
--- /dev/null
+++ b/.github/workflows/native_full_build.yml
@@ -0,0 +1,46 @@
+name: Build ProcessMonitor in Native Environment
+
+on:
+  pull_request:
+    branches: [ main ]
+    paths: ['**/*.c', '**/*.cpp', '**/*.cc', '**/*.cxx', '**/*.h', '**/*.hpp', '**/*.sh', '**/CMakeLists.txt']
+
+jobs:
+  build-processmonitor-on-pr:
+    name: Build ProcessMonitor component
+    runs-on: ubuntu-latest
+    container:
+      image: ghcr.io/rdkcentral/docker-device-mgt-service-test/native-platform:1.6.9
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        
+      - name: Install Dependencies
+        run: |
+          apt-get update
+          apt-get install -y cmake build-essential
+
+      - name: Create build directory
+        run: |
+          mkdir -p build
+          cd build
+
+      - name: Configure with CMake
+        run: |
+          cd build
+          cmake -DCMAKE_BUILD_TYPE=Release ../
+
+      - name: Build the component
+        run: |
+          cd build
+          make -j$(nproc)
+
+      - name: Verify build output
+        run: |
+          ls -la build/ProcessMonitor || echo "ProcessMonitor binary not found"
+          ls -la build/libexithandler.so* || echo "exitHandler library not found"
+          file build/ProcessMonitor || echo "Cannot check ProcessMonitor file type"
+          file build/libexithandler.so* || echo "Cannot check exitHandler file type"
+          echo "Build verification complete"
+
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 6701b6a..4144ec0 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -40,6 +40,18 @@ target_link_libraries(${PROJECT_NAME}
         Threads::Threads
         )
 
+add_library(exitHandler SHARED exitHandler.c)
+
+target_link_libraries(exitHandler Threads::Threads)
+
+set_target_properties(exitHandler PROPERTIES
+        OUTPUT_NAME exithandler
+        VERSION 1.0.0
+        SOVERSION 1)
+
+install(TARGETS exitHandler
+        LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR})
+
 install(TARGETS ${PROJECT_NAME}
         RUNTIME DESTINATION bin
-        )
\ No newline at end of file
+        )
diff --git a/Process.h b/Process.h
index 2095c33..e3fbea0 100644
--- a/Process.h
+++ b/Process.h
@@ -7,6 +7,7 @@
 #include <regex>
 #include <string>
 #include <vector>
+#include <optional>
 
 /**
  * Often commands will be prefixed with the interpreter to use (e.g. /bin/sh -c echo "hello world"). Strip
@@ -35,6 +36,13 @@ struct processInfo
 
     std::string systemdServiceName;
 
+    // Memory statistics (optional, populated when --mem is used)
+    std::optional<unsigned long> pss;           // Proportional Set Size (KB)
+    std::optional<unsigned long> swapPss;      // Swap PSS (KB)
+    std::optional<unsigned long> rss;          // Resident Set Size (KB)
+    std::optional<unsigned long> utime;        // User CPU time (jiffies)
+    std::optional<unsigned long> stime;        // System CPU time (jiffies)
+
     /**
      * Use some heuristics to try and get a suitable name for the timeline group
      *
diff --git a/ProcessMonitor.cpp b/ProcessMonitor.cpp
index 1f4ac2b..c56915b 100644
--- a/ProcessMonitor.cpp
+++ b/ProcessMonitor.cpp
@@ -18,6 +18,13 @@
 #include <sys/socket.h>
 #include <sys/uio.h>
 #include <unistd.h>
+#include <cstdlib>
+#include <ctime>
+#include <map>
+#include <sys/stat.h>
+#include <sys/mount.h>
+#include <dirent.h>
+#include <cstring>
 
 #define OP_LDH (BPF_LD | BPF_H | BPF_ABS)
 #define OP_LDB (BPF_LD | BPF_B | BPF_ABS)
@@ -27,6 +34,360 @@
 #define BPF_ALLOW 0xffffffff
 #define BPF_DENY 0
 
+#define _XOPEN_SOURCE 700
+
+#define MOUNT_DIR "/media/apps"
+#define ETC_DIR "/etc"
+
+extern bool gCaptureMemData;
+extern std::string gMemPreloadLib;
+
+/**
+ * @brief Recursively remove all files and subdirectories in a directory
+ * 
+ * @param path Path to the directory to clear
+ * @return true if successful, false otherwise
+ */
+static bool clearDirectory(const char *path)
+{
+    DIR *dir = opendir(path);
+    if (dir == nullptr)
+    {
+        if (errno == ENOENT)
+        {
+            // Directory doesn't exist, nothing to clear
+            Log("Directory %s does not exist, nothing to clear", path);
+            return true;
+        }
+        Log("Failed to open directory %s: %s", path, strerror(errno));
+        return false;
+    }
+
+    struct dirent *entry;
+    bool success = true;
+
+    while ((entry = readdir(dir)) != nullptr)
+    {
+        // Skip . and ..
+        if (strcmp(entry->d_name, ".") == 0 || strcmp(entry->d_name, "..") == 0)
+        {
+            continue;
+        }
+
+        char fullPath[PATH_MAX];
+        int ret = snprintf(fullPath, sizeof(fullPath), "%s/%s", path, entry->d_name);
+        if (ret < 0 || ret >= (int)sizeof(fullPath))
+        {
+            Log("Path too long: %s/%s", path, entry->d_name);
+            success = false;
+            continue;
+        }
+
+        struct stat statbuf;
+        if (lstat(fullPath, &statbuf) != 0)
+        {
+            Log("Failed to stat %s: %s", fullPath, strerror(errno));
+            success = false;
+            continue;
+        }
+
+        if (S_ISDIR(statbuf.st_mode))
+        {
+            // Recursively clear and remove subdirectory
+            if (!clearDirectory(fullPath))
+            {
+                success = false;
+                continue;
+            }
+            if (rmdir(fullPath) != 0)
+            {
+                Log("Failed to remove directory %s: %s", fullPath, strerror(errno));
+                success = false;
+            }
+        }
+        else
+        {
+            // Remove file
+            if (unlink(fullPath) != 0)
+            {
+                Log("Failed to remove file %s: %s", fullPath, strerror(errno));
+                success = false;
+            }
+        }
+    }
+
+    closedir(dir);
+    return success;
+}
+
+/**
+ * @brief Create a directory with all parent directories
+ * 
+ * @param path Path to the directory to create
+ * @return true if successful, false otherwise
+ */
+static bool createDirectory(const char *path)
+{
+    char tmp[PATH_MAX];
+    char *p = nullptr;
+    size_t len;
+
+    int ret = snprintf(tmp, sizeof(tmp), "%s", path);
+    if (ret < 0 || ret >= (int)sizeof(tmp))
+    {
+        Log("Path too long: %s", path);
+        return false;
+    }
+
+    len = strlen(tmp);
+    if (tmp[len - 1] == '/')
+    {
+        tmp[len - 1] = 0;
+    }
+
+    for (p = tmp + 1; *p; p++)
+    {
+        if (*p == '/')
+        {
+            *p = 0;
+            if (mkdir(tmp, 0755) != 0)
+            {
+                if (errno != EEXIST)
+                {
+                    Log("Failed to create directory %s: %s", tmp, strerror(errno));
+                    return false;
+                }
+            }
+            *p = '/';
+        }
+    }
+
+    if (mkdir(tmp, 0755) != 0)
+    {
+        if (errno != EEXIST)
+        {
+            Log("Failed to create directory %s: %s", tmp, strerror(errno));
+            return false;
+        }
+    }
+
+    Log("Created directory: %s", path);
+    return true;
+}
+
+/**
+ * @brief Recursively copy a directory and its contents
+ * 
+ * @param src Source directory path
+ * @param dest Destination directory path
+ * @return true if successful, false otherwise
+ */
+static bool copyDirectory(const char *src, const char *dest)
+{
+    DIR *dir = opendir(src);
+    if (dir == nullptr)
+    {
+        Log("Failed to open source directory %s: %s", src, strerror(errno));
+        return false;
+    }
+
+    // Create destination directory
+    if (!createDirectory(dest))
+    {
+        closedir(dir);
+        return false;
+    }
+
+    struct dirent *entry;
+    bool success = true;
+
+    while ((entry = readdir(dir)) != nullptr)
+    {
+        // Skip . and ..
+        if (strcmp(entry->d_name, ".") == 0 || strcmp(entry->d_name, "..") == 0)
+        {
+            continue;
+        }
+
+        char srcPath[PATH_MAX];
+        char destPath[PATH_MAX];
+
+        int ret = snprintf(srcPath, sizeof(srcPath), "%s/%s", src, entry->d_name);
+        if (ret < 0 || ret >= (int)sizeof(srcPath))
+        {
+            Log("Source path too long: %s/%s", src, entry->d_name);
+            success = false;
+            continue;
+        }
+
+        ret = snprintf(destPath, sizeof(destPath), "%s/%s", dest, entry->d_name);
+        if (ret < 0 || ret >= (int)sizeof(destPath))
+        {
+            Log("Destination path too long: %s/%s", dest, entry->d_name);
+            success = false;
+            continue;
+        }
+
+        struct stat statbuf;
+        if (lstat(srcPath, &statbuf) != 0)
+        {
+            Log("Failed to stat %s: %s", srcPath, strerror(errno));
+            success = false;
+            continue;
+        }
+
+        if (S_ISDIR(statbuf.st_mode))
+        {
+            // Recursively copy subdirectory
+            if (!copyDirectory(srcPath, destPath))
+            {
+                success = false;
+            }
+        }
+        else if (S_ISLNK(statbuf.st_mode))
+        {
+            // Copy symlink
+            char linkTarget[PATH_MAX];
+            ssize_t linkLen = readlink(srcPath, linkTarget, sizeof(linkTarget) - 1);
+            if (linkLen < 0)
+            {
+                Log("Failed to read symlink %s: %s", srcPath, strerror(errno));
+                success = false;
+                continue;
+            }
+            linkTarget[linkLen] = '\0';
+
+            if (symlink(linkTarget, destPath) != 0)
+            {
+                Log("Failed to create symlink %s -> %s: %s", destPath, linkTarget, strerror(errno));
+                success = false;
+            }
+        }
+        else if (S_ISREG(statbuf.st_mode))
+        {
+            // Copy regular file
+            int srcFd = open(srcPath, O_RDONLY | O_CLOEXEC);
+            if (srcFd < 0)
+            {
+                Log("Failed to open source file %s: %s", srcPath, strerror(errno));
+                success = false;
+                continue;
+            }
+
+            int destFd = open(destPath, O_WRONLY | O_CREAT | O_TRUNC | O_CLOEXEC, statbuf.st_mode);
+            if (destFd < 0)
+            {
+                Log("Failed to open destination file %s: %s", destPath, strerror(errno));
+                close(srcFd);
+                success = false;
+                continue;
+            }
+
+            char buffer[8192];
+            ssize_t bytesRead;
+            bool copySuccess = true;
+
+            while ((bytesRead = read(srcFd, buffer, sizeof(buffer))) > 0)
+            {
+                ssize_t bytesWritten = write(destFd, buffer, bytesRead);
+                if (bytesWritten != bytesRead)
+                {
+                    Log("Failed to write to %s: %s", destPath, strerror(errno));
+                    copySuccess = false;
+                    success = false;
+                    break;
+                }
+            }
+
+            if (bytesRead < 0)
+            {
+                Log("Failed to read from %s: %s", srcPath, strerror(errno));
+                success = false;
+            }
+
+            close(srcFd);
+            close(destFd);
+
+            if (!copySuccess)
+            {
+                continue;
+            }
+
+            // Preserve timestamps
+            struct timespec times[2];
+            times[0] = statbuf.st_atim;
+            times[1] = statbuf.st_mtim;
+            if (utimensat(AT_FDCWD, destPath, times, 0) != 0)
+            {
+                Log("Warning: Failed to preserve timestamps for %s: %s", destPath, strerror(errno));
+            }
+        }
+    }
+
+    closedir(dir);
+
+    if (success)
+    {
+        Log("Successfully copied directory %s to %s", src, dest);
+    }
+
+    return success;
+}
+
+/**
+ * @brief Write content to a file
+ * 
+ * @param path Path to the file
+ * @param content Content to write
+ * @param append If true, append to file; if false, overwrite
+ * @return true if successful, false otherwise
+ */
+static bool writeFile(const char *path, const char *content, bool append = false)
+{
+    int flags = O_WRONLY | O_CREAT | O_CLOEXEC;
+    if (append)
+    {
+        flags |= O_APPEND;
+    }
+    else
+    {
+        flags |= O_TRUNC;
+    }
+
+    int fd = open(path, flags, 0644);
+    if (fd < 0)
+    {
+        Log("Failed to open file %s for writing: %s", path, strerror(errno));
+        return false;
+    }
+
+    size_t contentLen = strlen(content);
+    ssize_t bytesWritten = write(fd, content, contentLen);
+
+    if (bytesWritten < 0)
+    {
+        Log("Failed to write to file %s: %s", path, strerror(errno));
+        close(fd);
+        return false;
+    }
+
+    if ((size_t)bytesWritten != contentLen)
+    {
+        Log("Incomplete write to file %s: wrote %zd of %zu bytes", path, bytesWritten, contentLen);
+        close(fd);
+        return false;
+    }
+
+    if (fsync(fd) != 0)
+    {
+        Log("Warning: Failed to sync file %s: %s", path, strerror(errno));
+    }
+
+    close(fd);
+    Log("Successfully wrote to file: %s", path);
+    return true;
+}
+
 /**
  * References:
  * * https://nick-black.com/dankwiki/index.php/The_Proc_Connector_and_Socket_Filters
@@ -84,6 +445,15 @@ ProcessMonitor::~ProcessMonitor()
  */
 bool ProcessMonitor::Start()
 {
+    bool overlayJustActivated = false;
+    if (gCaptureMemData && !mMemPreloadActive) {
+        if (!setupMemPreload()) {
+            Log("Failed to set up memory preload");
+            return false;
+        }
+        overlayJustActivated = true;
+    }
+    
     if (mValid)
     {
         mStart = std::chrono::system_clock::now();
@@ -93,9 +463,23 @@ bool ProcessMonitor::Start()
         {
             mMessageReceiver = std::thread(&ProcessMonitor::receiveMessages, this);
 
-            return mMessageReceiver.joinable();
+            if (mMessageReceiver.joinable())
+            {
+                return true;
+            }
+
+            Log("Message receiver thread failed to start");
+            mListen = false;
+        }
+        else
+        {
+            Log("Failed to enable listen mode");
         }
-        return false;
+    }
+
+    if (overlayJustActivated)
+    {
+        teardownMemPreload();
     }
 
     return false;
@@ -116,6 +500,7 @@ bool ProcessMonitor::Stop()
     }
 
     setListenMode(false);
+    teardownMemPreload();
 
     return true;
 }
@@ -428,6 +813,9 @@ pid_t ProcessMonitor::getParentPid(pid_t pid)
  */
 std::string ProcessMonitor::GetJson()
 {
+    if (gCaptureMemData) {
+        mergeExitHandlerData();
+    }
     Log("Generating process JSON");
 
     // Convert this into a form that vis.js timeline can understand
@@ -464,6 +852,28 @@ std::string ProcessMonitor::GetJson()
             process["exitCode"] = p.exitCode;
             process["systemdService"] = p.systemdServiceName;
 
+            // Add memory statistics if available
+            if (p.pss.has_value())
+            {
+                process["pss"] = *p.pss;
+            }
+            if (p.swapPss.has_value())
+            {
+                process["swapPss"] = *p.swapPss;
+            }
+            if (p.rss.has_value())
+            {
+                process["rss"] = *p.rss;
+            }
+            if (p.utime.has_value())
+            {
+                process["utime"] = *p.utime;
+            }
+            if (p.stime.has_value())
+            {
+                process["stime"] = *p.stime;
+            }
+
             results["processes"].emplace_back(process);
 
             groups.insert(process["group"]);
@@ -540,3 +950,375 @@ std::string ProcessMonitor::getSystemdService(pid_t pid)
 
     return "None";
 }
+
+bool ProcessMonitor::setupMemPreload()
+{
+    if (!gCaptureMemData)
+    {
+        return true;
+    }
+    if (gMemPreloadLib.empty())
+    {
+        Log("Memory preload requested but no library path provided");
+        return false;
+    }
+
+    Log("Preparing bind-mounted %s for memory preload", ETC_DIR);
+
+    char mountEtcPath[PATH_MAX];
+    int ret = snprintf(mountEtcPath, sizeof(mountEtcPath), "%s%s", MOUNT_DIR, ETC_DIR);
+    Log("Mount etc path: %s", mountEtcPath);
+    if (ret < 0 || ret >= (int)sizeof(mountEtcPath))
+    {
+        Log("Mount path too long");
+        return false;
+    }
+
+    // Clear existing mount directory
+    if (!clearDirectory(mountEtcPath))
+    {
+        Log("Failed to clear %s", mountEtcPath);
+        // Continue anyway as directory might not exist
+    }
+
+    // Remove the directory itself if it exists
+    if (rmdir(mountEtcPath) != 0 && errno != ENOENT)
+    {
+        Log("Warning: Failed to remove %s: %s", mountEtcPath, strerror(errno));
+    }
+
+    // Create mount directory
+    if (!createDirectory(mountEtcPath))
+    {
+        Log("Failed to create %s", mountEtcPath);
+        return false;
+    }
+    Log("Successfully created mount directory: %s", mountEtcPath);
+
+    // Copy /etc to mount directory
+    if (!copyDirectory(ETC_DIR, mountEtcPath))
+    {
+        Log("Failed to copy %s to %s", ETC_DIR, mountEtcPath);
+        clearDirectory(mountEtcPath);
+        rmdir(mountEtcPath);
+        return false;
+    }
+    Log("Successfully copied %s to %s", ETC_DIR, mountEtcPath);
+
+    // Bind mount using mount-copybind
+    char mountCmd[PATH_MAX * 2 + 64];
+    ret = snprintf(mountCmd, sizeof(mountCmd), "/sbin/mount-copybind %s %s", mountEtcPath, ETC_DIR);
+    if (ret < 0 || ret >= (int)sizeof(mountCmd))
+    {
+        Log("Mount command too long");
+        clearDirectory(mountEtcPath);
+        rmdir(mountEtcPath);
+        return false;
+    }
+
+    Log("Running mount command: %s", mountCmd);
+    int rc = std::system(mountCmd);
+    if (rc != 0)
+    {
+        if (rc == -1)
+        {
+            Log("Failed to execute mount command: %s", strerror(errno));
+        }
+        else
+        {
+            Log("Mount command returned non-zero status: %d", rc);
+        }
+        clearDirectory(mountEtcPath);
+        rmdir(mountEtcPath);
+        return false;
+    }
+    Log("Successfully bind-mounted %s onto %s", mountEtcPath, ETC_DIR);
+
+    // Write preload library to /etc/ld.so.preload
+    char preloadPath[PATH_MAX];
+    ret = snprintf(preloadPath, sizeof(preloadPath), "%s/ld.so.preload", ETC_DIR);
+    if (ret < 0 || ret >= (int)sizeof(preloadPath))
+    {
+        Log("Preload path too long");
+        // Cleanup: unmount before returning
+        if (int umountRc = std::system("/bin/umount /etc"); umountRc != 0)
+        {
+            Log("Failed to umount %s during cleanup: status=%d", ETC_DIR, umountRc);
+        }
+        clearDirectory(mountEtcPath);
+        rmdir(mountEtcPath);
+        return false;
+    }
+
+    std::string preloadContent = gMemPreloadLib + "\n";
+    if (!writeFile(preloadPath, preloadContent.c_str(), false))
+    {
+        Log("Failed to write preload library to %s", preloadPath);
+        // Cleanup: unmount before returning
+        if (int umountRc = std::system("/bin/umount /etc"); umountRc != 0)
+        {
+            Log("Failed to umount %s during cleanup: status=%d", ETC_DIR, umountRc);
+        }
+        clearDirectory(mountEtcPath);
+        rmdir(mountEtcPath);
+        return false;
+    }
+
+    mMemPreloadActive = true;
+    Log("Memory preload enabled via %s", gMemPreloadLib.c_str());
+    return true;
+}
+
+void ProcessMonitor::teardownMemPreload()
+{
+    if (!mMemPreloadActive)
+    {
+        return;
+    }
+
+    Log("Tearing down bind-mounted %s for memory preload", ETC_DIR);
+
+    // Unmount /etc
+    Log("Unmounting %s", ETC_DIR);
+    int umountRc = std::system("/bin/umount /etc");
+    if (umountRc != 0)
+    {
+        if (umountRc == -1)
+        {
+            Log("Failed to execute umount command: %s", strerror(errno));
+        }
+        else
+        {
+            Log("Umount command returned non-zero status: %d", umountRc);
+        }
+        Log("Manual cleanup required for %s", ETC_DIR);
+        mMemPreloadActive = false;
+        return;
+    }
+    Log("Successfully unmounted %s", ETC_DIR);
+
+    // Clean up mount directory
+    char mountEtcPath[PATH_MAX];
+    int ret = snprintf(mountEtcPath, sizeof(mountEtcPath), "%s/etc", MOUNT_DIR);
+    if (ret < 0 || ret >= (int)sizeof(mountEtcPath))
+    {
+        Log("Mount path too long");
+        mMemPreloadActive = false;
+        return;
+    }
+
+    // Clear out the mount directory
+    if (!clearDirectory(mountEtcPath))
+    {
+        Log("Failed to clear %s; manual cleanup required", mountEtcPath);
+    }
+
+    if (rmdir(mountEtcPath) != 0)
+    {
+        Log("Failed to remove %s: %s; manual cleanup required", mountEtcPath, strerror(errno));
+    }
+    else
+    {
+        Log("Successfully removed %s", mountEtcPath);
+    }
+
+    // Clear /etc/ld.so.preload
+    char preloadPath[PATH_MAX];
+    ret = snprintf(preloadPath, sizeof(preloadPath), "%s/ld.so.preload", ETC_DIR);
+    if (ret < 0 || ret >= (int)sizeof(preloadPath))
+    {
+        Log("Preload path too long");
+    }
+    else
+    {
+        if (!writeFile(preloadPath, "", false))
+        {
+            Log("Warning: failed to clear %s", preloadPath);
+        }
+    }
+
+    mMemPreloadActive = false;
+    Log("Memory preload teardown complete");
+}
+
+void ProcessMonitor::mergeExitHandlerData()
+{
+    if (mExitHandlerDataMerged)
+    {
+        return;
+    }
+
+    std::ifstream file("/tmp/exitHandler.txt");
+    if (!file.is_open())
+    {
+        Log("Could not open /tmp/exitHandler.txt for reading (may not exist yet)");
+        mExitHandlerDataMerged = true;
+        return;
+    }
+
+    Log("Parsing exit handler data from /tmp/exitHandler.txt");
+
+    // Map to store exit handler entries by PID
+    // Key: PID, Value: struct with timestamp and memory stats
+    struct ExitHandlerEntry
+    {
+        std::chrono::time_point<std::chrono::system_clock> timestamp;
+        std::string processName;
+        unsigned long utime, stime, rss, pss, swapPss;
+    };
+
+    // Map: PID -> vector of entries (handle PID reuse)
+    std::map<pid_t, std::vector<ExitHandlerEntry>> exitHandlerMap;
+
+    std::string line;
+    int parsedCount = 0;
+    int errorCount = 0;
+
+    while (std::getline(file, line))
+    {
+        if (line.empty())
+        {
+            continue;
+        }
+
+        // Parse format: "timestamp: pid processName utime stime rss, pss, swappss"
+        // Example: "2024_01_15 10_30_45: 1234 /bin/ls 100 50 4096, 2048, 512"
+        
+        // Skip error format lines: "pid errno"
+        if (line.find(':') == std::string::npos)
+        {
+            // Try error format: "pid errno"
+            pid_t pid;
+            int err;
+            if (sscanf(line.c_str(), "%d %d", &pid, &err) == 2)
+            {
+                Log("Exit handler error entry: pid %d, errno %d", pid, err);
+                errorCount++;
+            }
+            continue;
+        }
+
+        // Parse format: "timestamp: pid processName utime stime rss, pss, swappss"
+        size_t colonPos = line.find(':');
+        std::string timestampStr = line.substr(0, colonPos);
+        std::string dataStr = line.substr(colonPos + 1);
+
+        // Parse timestamp (format: "YYYY_MM_DD HH_MM_SS")
+        struct tm tm = {};
+        if (strptime(timestampStr.c_str(), "%Y_%m_%d %H_%M_%S", &tm) == nullptr)
+        {
+            Log("Failed to parse timestamp: %s", timestampStr.c_str());
+            continue;
+        }
+
+        auto timestamp = std::chrono::system_clock::from_time_t(std::mktime(&tm));
+
+        // Parse data: " pid processName utime stime rss, pss, swappss"
+        pid_t pid;
+        char processName[256];
+        unsigned long utime, stime, rss, pss, swapPss;
+
+        if (sscanf(dataStr.c_str(), " %d %255s %lu %lu %lu, %lu, %lu", &pid, processName, &utime, &stime, &rss, &pss, &swapPss) == 7)
+        {
+            ExitHandlerEntry entry;
+            entry.timestamp = timestamp;
+            entry.processName = processName;
+            entry.utime = utime;
+            entry.stime = stime;
+            entry.rss = rss;
+            entry.pss = pss;
+            entry.swapPss = swapPss;
+
+            exitHandlerMap[pid].push_back(entry);
+            parsedCount++;
+        }
+        else
+        {
+            Log("Failed to parse exit handler data line: %s", line.c_str());
+        }
+    }
+    file.close();
+    if (file.bad())
+    {
+        Log("Error occurred while reading /tmp/exitHandler.txt");
+    }
+    Log("Parsed %d exit handler entries (%d errors)", parsedCount, errorCount);
+
+    // Merge into mExitedProcesses
+    int matchedCount = 0;
+
+    for (auto& process : mExitedProcesses)
+    {
+        auto it = exitHandlerMap.find(process.pid);
+        if (it == exitHandlerMap.end() || it->second.empty())
+        {
+            continue;
+        }
+        auto& entries = it->second;
+
+        // Find entry with nearest timestamp to process.endTime
+        ExitHandlerEntry* bestMatch = nullptr;
+        auto minTimeDiff = std::chrono::seconds::max(); // Start with large value
+
+        for (auto& entry : entries)
+        {
+            auto timeDiff = std::chrono::duration_cast<std::chrono::seconds>(
+                process.endTime > entry.timestamp ?
+                process.endTime - entry.timestamp :
+                entry.timestamp - process.endTime);
+
+            if (timeDiff < minTimeDiff)
+            {
+                minTimeDiff = timeDiff;
+                bestMatch = &entry;
+            }
+        }
+
+        if (bestMatch == nullptr)
+        {
+            continue;
+        }
+
+        // Optional name validation for large timestamp differences (fallback check)
+        if (minTimeDiff > std::chrono::seconds(10))
+        {
+            std::string processBasename = process.GetStrippedName();
+            std::string entryBasename = bestMatch->processName;
+
+            // Extract basename from entry
+            size_t slashPos = entryBasename.find_last_of('/');
+            if (slashPos != std::string::npos)
+            {
+                entryBasename = entryBasename.substr(slashPos + 1);
+            }
+
+            // Extract basename from process name
+            slashPos = processBasename.find_last_of('/');
+            if (slashPos != std::string::npos)
+            {
+                processBasename = processBasename.substr(slashPos + 1);
+            }
+
+            // Fuzzy name match
+            bool nameMatches = (processBasename.find(entryBasename) != std::string::npos) ||
+                               (entryBasename.find(processBasename) != std::string::npos);
+
+            if (!nameMatches)
+            {
+                Log("PID %d: large timestamp diff %lds, name mismatch ('%s' vs '%s'), skipping", process.pid, minTimeDiff.count(), processBasename.c_str(), entryBasename.c_str());
+                continue;
+            }
+        }
+
+        // Copy memory stats
+        process.pss = bestMatch->pss;
+        process.swapPss = bestMatch->swapPss;
+        process.rss = bestMatch->rss;
+        process.utime = bestMatch->utime;
+        process.stime = bestMatch->stime;
+        matchedCount++;
+    }
+
+    Log("Merged memory stats for %d processes", matchedCount);
+    mExitHandlerDataMerged = true;
+}
diff --git a/ProcessMonitor.h b/ProcessMonitor.h
index 2a588fb..61435d0 100644
--- a/ProcessMonitor.h
+++ b/ProcessMonitor.h
@@ -39,6 +39,11 @@ class ProcessMonitor
 
     std::string getSystemdService(pid_t pid);
 
+    void mergeExitHandlerData();
+
+    bool setupMemPreload();
+    void teardownMemPreload();
+
 private:
     int mSocket;
     bool mListen;
@@ -55,4 +60,7 @@ class ProcessMonitor
 
     std::chrono::time_point<std::chrono::system_clock> mStart;
     std::chrono::time_point<std::chrono::system_clock> mEnd;
+
+    bool mMemPreloadActive = false;
+    bool mExitHandlerDataMerged = false;
 };
diff --git a/docs/index.html b/docs/index.html
new file mode 100644
index 0000000..5cf082e
--- /dev/null
+++ b/docs/index.html
@@ -0,0 +1,631 @@
+<!DOCTYPE HTML>
+<html>
+<head>
+    <title>Process Timeline</title>
+
+    <!-- vis-timeline -->
+    <script src="https://unpkg.com/vis-timeline@7.7.0/standalone/umd/vis-timeline-graph2d.min.js"></script>
+    <link rel="stylesheet" href="https://unpkg.com/vis-timeline@7.7.0/dist/vis-timeline-graph2d.min.css"/>
+
+    <!-- Bootstrap -->
+    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet"
+          integrity="sha384-GLhlTQ8iRABdZLl6O3oVMWSktQOp6b7In1Zl3/Jr59b6EGGoI1aFkw7cmDA6j6gD" crossorigin="anonymous">
+
+    <!-- jQuery + Select2 -->
+    <script src="https://code.jquery.com/jquery-3.6.3.slim.min.js"
+            integrity="sha256-ZwqZIVdD3iXNyGHbSYdsmWP//UBokj2FHAxKuSBKDSo=" crossorigin="anonymous"></script>
+    <link href="https://cdn.jsdelivr.net/npm/select2@4.1.0-rc.0/dist/css/select2.min.css" rel="stylesheet"/>
+    <script src="https://cdn.jsdelivr.net/npm/select2@4.1.0-rc.0/dist/js/select2.js"></script>
+
+    <!-- Chart.js for the line graph -->
+    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
+
+    <!-- Generated results -->
+    <script src="results.js"></script>
+
+    <style>
+        body {
+            font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+        }
+
+        /* Process cells */
+        .timeline-cell {
+            display: flex;
+            flex-direction: column;
+            gap: 4px;
+        }
+        .cell {
+            padding: 4px 6px;
+            border-radius: 4px;
+            text-align: center;
+            color: #fff;
+            font-size: 12px;
+            min-width: 110px;
+        }
+        .cell.process-name { background: #455a64; font-weight: 600; }
+        .cell.pss { background: #ff1744; }
+        .cell.swappss { background: #ffd600; color: #000; }
+        .cell.rss { background: #1e88e5; }
+        .cell.cpu-time { background: #9c27b0; }
+
+        .vis-item .vis-item-content { padding: 4px; }
+
+        #memory-stats-controls .form-check { margin-right: 1rem; }
+
+        /* Summary row */
+        .summary-group .vis-item {
+            color: #000;
+            font-weight: 600;
+            border: none;
+        }
+        .summary-cell {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            height: 100%;
+            font-size: 13px;
+            text-shadow: -1px -1px 0 #fff, 1px -1px 0 #fff, -1px 1px 0 #fff, 1px 1px 0 #fff;
+        }
+        
+        /* CPU summary row */
+        .cpu-summary-group .vis-item {
+            color: #000;
+            font-weight: 600;
+            border: none;
+        }
+
+        /* Timeline + chart container */
+        #timeline-panel { transition: all 0.2s ease; }
+
+        /* Chart area */
+        #activity-chart-container {
+            height: 180px;
+        }
+    </style>
+</head>
+<body>
+<div class="container-fluid">
+    <div class="row mt-2">
+        <div class="col-9" id="timeline-panel">
+            <h4>
+                Timeline: <span id="start-time"></span> - <span id="end-time"></span>
+                <button class="btn btn-sm btn-primary ms-3" onclick="window.timeline.fit()">Reset Zoom</button>
+                <button class="btn btn-sm btn-secondary ms-2" onclick="toggleStatsPanel()">Toggle Stats</button>
+            </h4>
+            <div class="row my-2">
+                <label for="process-select" class="col-sm-1 col-form-label">Filter: </label>
+                <div class="col">
+                    <select onchange="filterGroups()" class="form-select" id="process-select"></select>
+                </div>
+            </div>
+            <div id="visualization"></div>
+            <p class="mt-1 fst-italic">Hold Ctrl and scroll to zoom in/out</p>
+
+            <div id="activity-chart-container" class="mt-3">
+                <canvas id="activity-chart"></canvas>
+            </div>
+
+            <div id="memory-stats-controls" class="mt-3" style="display: none;">
+                <h5>Memory &amp; CPU Statistics</h5>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-pss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-pss">Show PSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-swappss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-swappss">Show SwapPSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-rss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-rss">Show RSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-cpu-time"
+                           onchange="applyCellRendering();">
+                    <label class="form-check-label" for="show-cpu-time">Show CPU Time (stime &amp; utime)</label>
+                </div>
+            </div>
+        </div>
+
+        <div class="col-3" id="stats-panel">
+            <h4>Top 10 Systemd Services</h4>
+            <table class="table table-striped table-bordered table-sm mb-4" id="services-table">
+                <thead class="table-dark">
+                <tr>
+                    <th>Service Name</th>
+                    <th># Spawned Processes</th>
+                </tr>
+                </thead>
+                <tbody></tbody>
+            </table>
+
+            <h4>Top 10 Processes</h4>
+            <table class="table table-striped table-bordered table-sm mb-4" id="stats-table">
+                <thead class="table-dark">
+                <tr>
+                    <th>Process Name</th>
+                    <th># Executions</th>
+                </tr>
+                </thead>
+                <tbody></tbody>
+                <tfoot class="table-dark"></tfoot>
+            </table>
+
+            <h4>Selected Process</h4>
+            <table class="table table-striped table-bordered table-sm">
+                <tbody>
+                <tr><td>PID</td><td id="selected-process-pid">-</td></tr>
+                <tr><td>Name</td><td id="selected-process-name">-</td></tr>
+                <tr><td>Command Line</td><td><code id="selected-process-comm">-</code></td></tr>
+                <tr><td>Parent Command Line</td><td><code id="selected-process-parent-comm">-</code></td></tr>
+                <tr><td>Grandparent Command Line</td><td><code id="selected-process-grandparent-comm">-</code></td></tr>
+                <tr><td>Duration (ms)</td><td id="selected-process-duration">-</td></tr>
+                <tr><td>Exit Code</td><td id="selected-process-exitcode">-</td></tr>
+                <tr><td>Systemd Service</td><td id="selected-process-systemd-service">-</td></tr>
+                <tr id="selected-process-pss-row" style="display:none;"><td>PSS (KB)</td><td id="selected-process-pss">-</td></tr>
+                <tr id="selected-process-swappss-row" style="display:none;"><td>SwapPSS (KB)</td><td id="selected-process-swappss">-</td></tr>
+                <tr id="selected-process-rss-row" style="display:none;"><td>RSS (KB)</td><td id="selected-process-rss">-</td></tr>
+                <tr id="selected-process-cpu-time-row" style="display:none;"><td>CPU Time (stime, utime)</td><td id="selected-process-cpu-time">-</td></tr>
+                </tbody>
+            </table>
+        </div>
+    </div>
+</div>
+
+<script>
+    const CLOCK_TICKS_PER_SEC = 100;
+    let activityChart = null;
+
+    // Preserve original content text
+    results.processes = results.processes.map(proc => ({
+        ...proc,
+        originalContent: proc.content
+    }));
+
+    function hasMemoryData() {
+        return results.processes.some(p =>
+            'pss' in p || 'swapPss' in p || 'rss' in p || 'utime' in p || 'stime' in p);
+    }
+
+    function jiffiesToMs(jiffies) {
+        return Math.round((jiffies * 1000) / CLOCK_TICKS_PER_SEC);
+    }
+
+    function toggleStatsPanel() {
+        const statsPanel = document.getElementById('stats-panel');
+        const timelinePanel = document.getElementById('timeline-panel');
+        if (!statsPanel || !timelinePanel) return;
+
+        if (statsPanel.style.display === 'none') {
+            statsPanel.style.display = '';
+            timelinePanel.classList.remove('col-12');
+            timelinePanel.classList.add('col-9');
+        } else {
+            statsPanel.style.display = 'none';
+            timelinePanel.classList.remove('col-9');
+            timelinePanel.classList.add('col-12');
+        }
+        if (window.timeline) {
+            setTimeout(() => window.timeline.redraw(), 200);
+        }
+    }
+
+    function setClusterOptions(enable, zoom = false) {
+        if (!window.timeline) return;
+        if (enable) {
+            window.timeline.setOptions({
+                cluster: {
+                    titleTemplate: "{count} more events - double click to focus",
+                    maxItems: zoom ? 10 : 1
+                }
+            });
+        } else {
+            window.timeline.setOptions({cluster: false});
+        }
+    }
+
+    function filterGroups() {
+        const selected = document.getElementById('process-select').value;
+        setClusterOptions(false);
+        if (selected === '__all_processes__') {
+            window.timeline.fit();
+            window.groups.forEach(g => window.groups.update({id: g.id, visible: true}));
+            setClusterOptions(true);
+        } else {
+            window.timeline.fit();
+            window.groups.forEach(g => window.groups.update({id: g.id, visible: g.id === selected}));
+            setClusterOptions(true, true);
+        }
+    }
+
+    function buildCells(proc) {
+        const showPss = document.getElementById('show-pss').checked;
+        const showSwapPss = document.getElementById('show-swappss').checked;
+        const showRss = document.getElementById('show-rss').checked;
+        const showCpuTime = document.getElementById('show-cpu-time').checked;
+
+        const cells = [];
+        cells.push(`<div class="cell process-name">${proc.originalContent}</div>`);
+        if (showPss && 'pss' in proc) cells.push(`<div class="cell pss">${proc.pss} KB</div>`);
+        if (showSwapPss && 'swapPss' in proc) cells.push(`<div class="cell swappss">${proc.swapPss} KB</div>`);
+        if (showRss && 'rss' in proc) cells.push(`<div class="cell rss">${proc.rss} KB</div>`);
+        if (showCpuTime && 'utime' in proc && 'stime' in proc) {
+            const utimeMs = jiffiesToMs(proc.utime);
+            const stimeMs = jiffiesToMs(proc.stime);
+            const totalMs = utimeMs + stimeMs;
+            cells.push(`<div class="cell cpu-time">(${stimeMs}, ${utimeMs}) | ${totalMs} ms</div>`);
+        }
+        return `<div class="timeline-cell">${cells.join('')}</div>`;
+    }
+
+    function applyCellRendering() {
+        if (!window.items) return;
+        const updates = results.processes.map(proc => ({
+            id: proc.id,
+            content: buildCells(proc)
+        }));
+        window.items.update(updates);
+    }
+
+    function bucketizeWithMem(processes) {
+        const buckets = new Map();
+        processes.forEach(proc => {
+            const startSec = Math.floor(proc.start / 1000);
+            const endSec = Math.floor(proc.end / 1000);
+            const durationMs = proc.end - proc.start;
+            
+            // Calculate total CPU time in ms
+            let totalCpuMs = 0;
+            if ('utime' in proc && 'stime' in proc) {
+                totalCpuMs = jiffiesToMs(proc.utime + proc.stime);
+            }
+            const cpuPerMs = durationMs > 0 ? totalCpuMs / durationMs : 0;
+            
+            for (let sec = startSec; sec <= endSec; sec++) {
+                if (!buckets.has(sec)) {
+                    buckets.set(sec, { count: 0, pssTotal: 0, swapPssTotal: 0, rssTotal: 0, cpuTotal: 0 });
+                }
+                const bucket = buckets.get(sec);
+                bucket.count += 1;
+                if ('pss' in proc) bucket.pssTotal += proc.pss;
+                if ('swapPss' in proc) bucket.swapPssTotal += proc.swapPss;
+                if ('rss' in proc) bucket.rssTotal += proc.rss;
+                
+                // Calculate overlap with this second bucket
+                const bucketStart = sec * 1000;
+                const bucketEnd = bucketStart + 1000;
+                const overlapStart = Math.max(proc.start, bucketStart);
+                const overlapEnd = Math.min(proc.end, bucketEnd);
+                const overlapMs = Math.max(0, overlapEnd - overlapStart);
+                
+                // Proportional CPU contribution
+                bucket.cpuTotal += cpuPerMs * overlapMs;
+            }
+        });
+        return buckets;
+    }
+
+    function updateLineChartVisibility() {
+        if (!activityChart) return;
+        const showPss = document.getElementById('show-pss').checked;
+        const showSwapPss = document.getElementById('show-swappss').checked;
+        const showRss = document.getElementById('show-rss').checked;
+
+        // dataset indices: 0=count, 1=pss, 2=swap, 3=rss, 4=cpu
+        activityChart.setDatasetVisibility(1, showPss);
+        activityChart.setDatasetVisibility(2, showSwapPss);
+        activityChart.setDatasetVisibility(3, showRss);
+        // CPU total line is always shown, can be toggled via chart legend
+        activityChart.update();
+    }
+    
+    function getHeatmapColor(value, maxValue) {
+        if (maxValue === 0) return '#e0e0e0';
+        const ratio = value / maxValue;
+        // Cool to warm: blue -> cyan -> green -> yellow -> orange -> red
+        if (ratio < 0.2) {
+            const t = ratio / 0.2;
+            return `rgb(${Math.round(66 + (0 - 66) * t)}, ${Math.round(165 + (255 - 165) * t)}, ${Math.round(245 + (255 - 245) * t)})`;
+        } else if (ratio < 0.4) {
+            const t = (ratio - 0.2) / 0.2;
+            return `rgb(${Math.round(0 + (76 - 0) * t)}, ${Math.round(255 + (175 - 255) * t)}, ${Math.round(255 + (80 - 255) * t)})`;
+        } else if (ratio < 0.6) {
+            const t = (ratio - 0.4) / 0.2;
+            return `rgb(${Math.round(76 + (255 - 76) * t)}, ${Math.round(175 + (235 - 175) * t)}, ${Math.round(80 + (59 - 80) * t)})`;
+        } else if (ratio < 0.8) {
+            const t = (ratio - 0.6) / 0.2;
+            return `rgb(${Math.round(255)}, ${Math.round(235 + (152 - 235) * t)}, ${Math.round(59 + (0 - 59) * t)})`;
+        } else {
+            const t = (ratio - 0.8) / 0.2;
+            return `rgb(${Math.round(255 + (244 - 255) * t)}, ${Math.round(152 + (67 - 152) * t)}, ${Math.round(0 + (54 - 0) * t)})`;
+        }
+    }
+
+    function showTopServices() {
+        const sorted = [...results.stats.services].sort((a, b) => b.frequency - a.frequency);
+        const tbody = document.querySelector('#services-table tbody');
+        sorted.slice(0, 10).forEach(entry => {
+            const row = tbody.insertRow();
+            row.insertCell().textContent = entry.serviceName;
+            row.insertCell().textContent = entry.frequency;
+        });
+    }
+
+    function showTopProcesses() {
+        const sorted = [...results.stats.processes].sort((a, b) => b.frequency - a.frequency);
+        const tbody = document.querySelector('#stats-table tbody');
+        sorted.slice(0, 10).forEach(entry => {
+            const row = tbody.insertRow();
+            row.insertCell().textContent = entry.process;
+            row.insertCell().textContent = entry.frequency;
+        });
+        const total = sorted.reduce((sum, entry) => sum + entry.frequency, 0);
+        const foot = document.querySelector('#stats-table tfoot');
+        const footRow = foot.insertRow();
+        footRow.insertCell().textContent = 'Total';
+        footRow.insertCell().textContent = total;
+    }
+
+    function renderTimeline() {
+        const container = document.getElementById('visualization');
+        window.items = new vis.DataSet(results.processes);
+        window.groups = new vis.DataSet(results.groups);
+
+        const buckets = bucketizeWithMem(results.processes);
+        const summaryItems = [];
+        const cpuSummaryItems = [];
+        const bucketLabels = [];
+        const bucketCounts = [];
+        const bucketPssTotals = [];
+        const bucketSwapTotals = [];
+        const bucketRssTotals = [];
+        const bucketCpuTotals = [];
+
+        // Find max values for heatmap scaling
+        let maxCount = 0;
+        let maxCpu = 0;
+        buckets.forEach((data) => {
+            maxCount = Math.max(maxCount, data.count);
+            maxCpu = Math.max(maxCpu, data.cpuTotal);
+        });
+
+        buckets.forEach((data, second) => {
+            const activityColor = getHeatmapColor(data.count, maxCount);
+            const cpuColor = getHeatmapColor(data.cpuTotal, maxCpu);
+            
+            summaryItems.push({
+                id: `bucket_${second}`,
+                group: 'summary',
+                start: second * 1000,
+                end: second * 1000 + 1000,
+                content: `<div class="summary-cell">${data.count}</div>`,
+                style: `background: ${activityColor};`
+            });
+            
+            cpuSummaryItems.push({
+                id: `cpu_bucket_${second}`,
+                group: 'cpu-summary',
+                start: second * 1000,
+                end: second * 1000 + 1000,
+                content: `<div class="summary-cell">${Math.round(data.cpuTotal)}</div>`,
+                style: `background: ${cpuColor};`
+            });
+            
+            bucketLabels.push(new Date(second * 1000));
+            bucketCounts.push(data.count);
+            bucketPssTotals.push(data.pssTotal);
+            bucketSwapTotals.push(data.swapPssTotal);
+            bucketRssTotals.push(data.rssTotal);
+            bucketCpuTotals.push(Math.round(data.cpuTotal));
+        });
+
+        if (summaryItems.length) {
+            window.groups.add({
+                id: 'summary',
+                content: 'Activity per Second',
+                className: 'summary-group',
+                stack: false,
+                stackSubgroups: false
+            });
+            window.items.add(summaryItems);
+        }
+        
+        if (cpuSummaryItems.length) {
+            window.groups.add({
+                id: 'cpu-summary',
+                content: 'CPU per Second (ms)',
+                className: 'cpu-summary-group',
+                stack: false,
+                stackSubgroups: false
+            });
+            window.items.add(cpuSummaryItems);
+        }
+
+        window.timeline = new vis.Timeline(container, window.items, {
+            stack: true,
+            zoomMin: 1000,
+            zoomMax: 24 * 3600 * 1000,
+            zoomKey: 'ctrlKey',
+            maxHeight: window.innerHeight - 150,
+            groupOrder: function(a, b) {
+                if (a.id === 'summary' && b.id !== 'summary' && b.id !== 'cpu-summary') return 1;
+                if (a.id === 'cpu-summary' && b.id !== 'summary' && b.id !== 'cpu-summary') return 1;
+                if (b.id === 'summary' && a.id !== 'summary' && a.id !== 'cpu-summary') return -1;
+                if (b.id === 'cpu-summary' && a.id !== 'summary' && a.id !== 'cpu-summary') return -1;
+                if (a.id === 'summary' && b.id === 'cpu-summary') return 1;
+                if (a.id === 'cpu-summary' && b.id === 'summary') return -1;
+                return String(a.content).localeCompare(String(b.content));
+            }
+        });
+        window.timeline.setGroups(window.groups);
+
+        // Filter dropdown
+        const dropdown = document.getElementById('process-select');
+        const allOption = document.createElement('option');
+        allOption.value = '__all_processes__';
+        allOption.textContent = 'Show all';
+        allOption.selected = true;
+        dropdown.appendChild(allOption);
+
+        results.groups.slice().sort((a, b) => a.content.localeCompare(b.content)).forEach(group => {
+            const opt = document.createElement('option');
+            opt.value = group.content;
+            opt.textContent = group.content;
+            dropdown.appendChild(opt);
+        });
+        $('#process-select').select2();
+
+        // Selected process details
+        window.timeline.on('select', props => {
+            const id = props.items[0];
+            if (!id) return;
+            const process = results.processes.find(p => p.id === id);
+            if (!process) return;
+
+            document.getElementById('selected-process-pid').textContent = process.pid;
+            document.getElementById('selected-process-name').textContent = process.originalContent;
+            document.getElementById('selected-process-comm').textContent = process.fullCommandLine;
+            document.getElementById('selected-process-duration').textContent = (process.end - process.start).toString();
+            document.getElementById('selected-process-parent-comm').textContent = process.parentCommandLine;
+            document.getElementById('selected-process-grandparent-comm').textContent = process.grandparentCommandLine;
+            document.getElementById('selected-process-exitcode').textContent = process.exitCode;
+            document.getElementById('selected-process-systemd-service').textContent = process.systemdService;
+
+            const rows = [
+                { key: 'pss', row: 'selected-process-pss-row', val: 'selected-process-pss', suffix: ' KB' },
+                { key: 'swapPss', row: 'selected-process-swappss-row', val: 'selected-process-swappss', suffix: ' KB' },
+                { key: 'rss', row: 'selected-process-rss-row', val: 'selected-process-rss', suffix: ' KB' }
+            ];
+
+            rows.forEach(entry => {
+                if (entry.key in process) {
+                    const value = entry.transform ? entry.transform(process[entry.key]) : process[entry.key];
+                    document.getElementById(entry.val).textContent = `${value}${entry.suffix}`;
+                    document.getElementById(entry.row).style.display = '';
+                } else {
+                    document.getElementById(entry.row).style.display = 'none';
+                }
+            });
+
+            // Handle CPU time separately
+            if ('utime' in process && 'stime' in process) {
+                const utimeMs = jiffiesToMs(process.utime);
+                const stimeMs = jiffiesToMs(process.stime);
+                const totalMs = utimeMs + stimeMs;
+                document.getElementById('selected-process-cpu-time').textContent = `(${stimeMs}, ${utimeMs}) | ${totalMs} ms`;
+                document.getElementById('selected-process-cpu-time-row').style.display = '';
+            } else {
+                document.getElementById('selected-process-cpu-time-row').style.display = 'none';
+            }
+        });
+
+        // Stats tables
+        showTopServices();
+        showTopProcesses();
+
+        document.getElementById('start-time').textContent = new Date(results.start).toLocaleString();
+        document.getElementById('end-time').textContent = new Date(results.end).toLocaleString();
+
+        if (hasMemoryData()) {
+            document.getElementById('memory-stats-controls').style.display = 'block';
+            applyCellRendering();
+        }
+
+        // Line chart
+        const chartCanvas = document.getElementById('activity-chart');
+        if (chartCanvas && bucketLabels.length > 0) {
+            const ctx = chartCanvas.getContext('2d');
+            activityChart = new Chart(ctx, {
+                type: 'line',
+                data: {
+                    labels: bucketLabels.map(d => d.toLocaleTimeString()),
+                    datasets: [
+                        {
+                            label: 'Process count',
+                            data: bucketCounts,
+                            borderColor: '#000000',
+                            backgroundColor: 'rgba(0,0,0,0.05)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y'
+                        },
+                        {
+                            label: 'PSS total (KB)',
+                            data: bucketPssTotals,
+                            borderColor: '#ff1744',
+                            backgroundColor: 'rgba(255,23,68,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'SwapPSS total (KB)',
+                            data: bucketSwapTotals,
+                            borderColor: '#ffd600',
+                            backgroundColor: 'rgba(255,214,0,0.2)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'RSS total (KB)',
+                            data: bucketRssTotals,
+                            borderColor: '#1e88e5',
+                            backgroundColor: 'rgba(30,136,229,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'CPU total (ms)',
+                            data: bucketCpuTotals,
+                            borderColor: '#228B22',
+                            backgroundColor: 'rgba(255,111,0,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y2'
+                        }
+                    ]
+                },
+                options: {
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    scales: {
+                        x: {
+                            type: 'category',
+                            title: { display: true, text: 'Time' }
+                        },
+                        y: {
+                            beginAtZero: true,
+                            title: { display: true, text: 'Process count' }
+                        },
+                        y1: {
+                            beginAtZero: true,
+                            position: 'right',
+                            grid: { drawOnChartArea: false },
+                            title: { display: true, text: 'PSS / SwapPSS / RSS (KB)' }
+                        },
+                        y2: {
+                            beginAtZero: true,
+                            position: 'right',
+                            grid: { drawOnChartArea: false },
+                            title: { display: true, text: 'CPU (ms)' }
+                        }
+                    },
+                    plugins: {
+                        legend: { display: true, position: 'bottom' }
+                    }
+                }
+            });
+
+            updateLineChartVisibility();
+        }
+    }
+
+    renderTimeline();
+</script>
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/results.js b/docs/results.js
new file mode 100644
index 0000000..e15206c
--- /dev/null
+++ b/docs/results.js
@@ -0,0 +1 @@
+let results = {"end":1763378733586,"groups":[{"content":"-sh","id":"-sh"},{"content":"/etc/apparmor/aar_telemetry.sh","id":"/etc/apparmor/aar_telemetry.sh"},{"content":"/init","id":"/init"},{"content":"/lib/rdk/startStunnel.sh","id":"/lib/rdk/startStunnel.sh"},{"content":"/usr/bin/thunderHangRecovery","id":"/usr/bin/thunderHangRecovery"},{"content":"/usr/bin/tr69hostif","id":"/usr/bin/tr69hostif"},{"content":"WPEProcess","id":"WPEProcess"},{"content":"ping","id":"ping"}],"processes":[{"content":"/usr/sbin/logrotate","end":1763378436489,"exitCode":0,"fullCommandLine":"/usr/sbin/logrotate -s /tmp/logrotatedata.status /etc/logrotatedata.conf -l /opt/logs/logrotate.log --skip-state-lock","grandparentCommandLine":"Unknown","group":"/init","id":"8112_1763378436486","parentCommandLine":"/init","pid":8112,"pss":120,"rss":252,"start":1763378436486,"stime":0,"swapPss":0,"systemdService":"logrotate.service","title":"/usr/sbin/logrotate -s /tmp/logrotatedata.status /etc/logrotatedata.conf -l /opt/logs/logrotate.log --skip-state-lock","utime":0},{"content":"/lib/rdk/networkConnectionRecovery.sh","end":1763378436504,"exitCode":256,"fullCommandLine":"/bin/sh /lib/rdk/networkConnectionRecovery.sh","grandparentCommandLine":"Unknown","group":"/init","id":"8113_1763378436500","parentCommandLine":"/init","pid":8113,"pss":224,"rss":328,"start":1763378436500,"stime":0,"swapPss":0,"systemdService":"network-connection-stats.service","title":"/lib/rdk/networkConnectionRecovery.sh","utime":0},{"content":"ping","end":1763378438363,"exitCode":0,"fullCommandLine":"ping -c 3 -W 3 -i 0.2 10.0.0.1","grandparentCommandLine":"WPEProcess -l libWPEFrameworkNetworkManagerImpl.so -c NetworkManagerImplementation -C org.rdk.NetworkManager -r /tmp/communicator -i 2147484896 -x 18 -p \"/opt/persistent/rdkservices/org.rdk.NetworkManager/\" -s \"/usr/lib/wpeframework/plugins/\" -d \"/usr/share/WPEFramework/NetworkManager/\" -a \"/usr/bin/\" -v \"/tmp/org.rdk.NetworkManager/\" -m \"/usr/lib/wpeframework/proxystubs/\" -P \"/opt/secure/minidumps/\"","group":"ping","id":"8126_1763378437946","parentCommandLine":"sh -c ping  -c 3 -W 3 -i 0.2 '10.0.0.1' 2>&1","pid":8126,"pss":150,"rss":280,"start":1763378437946,"stime":0,"swapPss":0,"systemdService":"wpeframework.service","title":"ping -c 3 -W 3 -i 0.2 10.0.0.1","utime":0},{"content":"ping","end":1763378438364,"exitCode":0,"fullCommandLine":"sh -c ping  -c 3 -W 3 -i 0.2 '10.0.0.1' 2>&1","grandparentCommandLine":"/usr/bin/WPEFramework -b","group":"WPEProcess","id":"8125_1763378437942","parentCommandLine":"WPEProcess -l libWPEFrameworkNetworkManagerImpl.so -c NetworkManagerImplementation -C org.rdk.NetworkManager -r /tmp/communicator -i 2147484896 -x 18 -p \"/opt/persistent/rdkservices/org.rdk.NetworkManager/\" -s \"/usr/lib/wpeframework/plugins/\" -d \"/usr/share/WPEFramework/NetworkManager/\" -a \"/usr/bin/\" -v \"/tmp/org.rdk.NetworkManager/\" -m \"/usr/lib/wpeframework/proxystubs/\" -P \"/opt/secure/minidumps/\"","pid":8125,"start":1763378437942,"systemdService":"wpeframework.service","title":"ping  -c 3 -W 3 -i 0.2 '10.0.0.1' 2>&1"},{"content":"sleep","end":1763378440471,"exitCode":0,"fullCommandLine":"sleep 5","grandparentCommandLine":"/init","group":"/lib/rdk/startStunnel.sh","id":"8108_1763378435468","parentCommandLine":"/bin/sh /lib/rdk/startStunnel.sh 3002 acrylic-platco-only-lab.xcal.tv acrylic-platco-only-lab.xcal.tv 2009  -I 300 -f -N -y -T -R 4453:10.0.0.197:22 webpa_user01@ localhost -p 3002 acrylic-platco-only-lab.xcal.tv -p 2221","pid":8108,"pss":251,"rss":312,"start":1763378435468,"stime":0,"swapPss":0,"systemdService":"tr69hostif.service","title":"sleep 5","utime":0},{"content":"sleep","end":1763378445476,"exitCode":0,"fullCommandLine":"sleep 5","grandparentCommandLine":"/init","group":"/lib/rdk/startStunnel.sh","id":"8134_1763378440475","parentCommandLine":"/bin/sh /lib/rdk/startStunnel.sh 3002 acrylic-platco-only-lab.xcal.tv acrylic-platco-only-lab.xcal.tv 2009  -I 300 -f -N -y -T -R 4453:10.0.0.197:22 webpa_user01@ localhost -p 3002 acrylic-platco-only-lab.xcal.tv -p 2221","pid":8134,"pss":251,"rss":312,"start":1763378440475,"stime":0,"swapPss":0,"systemdService":"tr69hostif.service","title":"sleep 5","utime":0},{"content":"date","end":1763378449037,"exitCode":0,"fullCommandLine":"date -u +%FT%H:%M","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8164_1763378449033","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8164,"pss":245,"rss":308,"start":1763378449033,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"date -u +%FT%H:%M","utime":0},{"content":"grep","end":1763378449073,"exitCode":0,"fullCommandLine":"grep -i 2025-11-17T11:20 /opt/logs/syslog_fallback.log","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8165_1763378449043","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8165,"pss":297,"rss":308,"start":1763378449043,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"grep -i 2025-11-17T11:20 /opt/logs/syslog_fallback.log","utime":1},{"content":"date","end":1763378449082,"exitCode":0,"fullCommandLine":"date -u +%Y-%m-%dT%T.%3NZ","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8166_1763378449080","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8166,"pss":245,"rss":308,"start":1763378449080,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"date -u +%Y-%m-%dT%T.%3NZ","utime":0},{"content":"cat","end":1763378449088,"exitCode":256,"fullCommandLine":"cat /tmp/aar_marker.txt","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8167_1763378449085","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8167,"pss":245,"rss":308,"start":1763378449085,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"cat /tmp/aar_marker.txt","utime":0},{"content":"rm","end":1763378449097,"exitCode":0,"fullCommandLine":"rm -f /tmp/aar_msg.txt","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8168_1763378449094","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8168,"pss":245,"rss":308,"start":1763378449094,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"rm -f /tmp/aar_msg.txt","utime":0},{"content":"rm","end":1763378449101,"exitCode":0,"fullCommandLine":"rm -f /tmp/aar_marker.txt","grandparentCommandLine":"/init","group":"/etc/apparmor/aar_telemetry.sh","id":"8169_1763378449099","parentCommandLine":"/bin/sh /etc/apparmor/aar_telemetry.sh","pid":8169,"pss":245,"rss":308,"start":1763378449099,"stime":0,"swapPss":0,"systemdService":"apparmor.service","title":"rm -f /tmp/aar_marker.txt","utime":0},{"content":"sleep","end":1763378450486,"exitCode":0,"fullCommandLine":"sleep 5","grandparentCommandLine":"/init","group":"/lib/rdk/startStunnel.sh","id":"8151_1763378445478","parentCommandLine":"/bin/sh /lib/rdk/startStunnel.sh 3002 acrylic-platco-only-lab.xcal.tv acrylic-platco-only-lab.xcal.tv 2009  -I 300 -f -N -y -T -R 4453:10.0.0.197:22 webpa_user01@ localhost -p 3002 acrylic-platco-only-lab.xcal.tv -p 2221","pid":8151,"pss":249,"rss":312,"start":1763378445478,"stime":0,"swapPss":0,"systemdService":"tr69hostif.service","title":"sleep 5","utime":0},{"content":"ping","end":1763378453342,"exitCode":0,"fullCommandLine":"ping -c 3 -W 3 -i 0.2 10.0.0.1","grandparentCommandLine":"WPEProcess -l libWPEFrameworkNetworkManagerImpl.so -c NetworkManagerImplementation -C org.rdk.NetworkManager -r /tmp/communicator -i 2147484896 -x 18 -p \"/opt/persistent/rdkservices/org.rdk.NetworkManager/\" -s \"/usr/lib/wpeframework/plugins/\" -d 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\"/tmp/org.rdk.NetworkManager/\" -m \"/usr/lib/wpeframework/proxystubs/\" -P \"/opt/secure/minidumps/\"","pid":8186,"start":1763378452933,"systemdService":"wpeframework.service","title":"ping  -c 3 -W 3 -i 0.2 '10.0.0.1' 2>&1"},{"content":"ls","end":1763378455100,"exitCode":0,"fullCommandLine":"ls /sys/class/net","grandparentCommandLine":"/usr/bin/tr69hostif -c /etc/mgrlist.conf -p 10999 -s 11999","group":"/usr/bin/tr69hostif","id":"8195_1763378455097","parentCommandLine":"/usr/bin/tr69hostif -c /etc/mgrlist.conf -p 10999 -s 11999","pid":8195,"pss":204,"rss":312,"start":1763378455097,"stime":0,"swapPss":0,"systemdService":"tr69hostif.service","title":"ls /sys/class/net","utime":0},{"content":"cat","end":1763378455107,"exitCode":0,"fullCommandLine":"cat /sys/class/net/dobby0/ifindex","grandparentCommandLine":"/usr/bin/tr69hostif -c /etc/mgrlist.conf -p 10999 -s 11999","group":"/usr/bin/tr69hostif","id":"8197_1763378455104","parentCommandLine":"/usr/bin/tr69hostif -c /etc/mgrlist.conf -p 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\ No newline at end of file
diff --git a/docs/timeline.png b/docs/timeline.png
deleted file mode 100644
index 28c9225..0000000
Binary files a/docs/timeline.png and /dev/null differ
diff --git a/exitHandler.c b/exitHandler.c
new file mode 100644
index 0000000..9732559
--- /dev/null
+++ b/exitHandler.c
@@ -0,0 +1,209 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <unistd.h>
+#include <errno.h>
+
+#include <dirent.h>
+#include <time.h>
+
+// MAY NOT WORK FOR BUSYBOX utilities, as stdio might've been reopened
+#if 0
+#define PRINT printf
+#define PRINT_INFO printf
+#define PRINT_NOISE printf
+#define TEST_ME
+#else
+#define PRINT(...)
+#define PRINT_INFO(...)
+#define PRINT_NOISE(...)
+#undef TEST_ME
+#endif
+
+#undef INSTALL_EXIT_HANDLER
+#ifdef TEST_ME
+unsigned long testpsstotal, testswappsstotal;
+#endif
+
+int getPSSandSwapPSS(unsigned pid, unsigned long *psstotal, unsigned long *swappsstotal)
+{
+    char mmapTmpArray[1024]; /* Used to read entries from /proc/pid/smaps...big enough to hold large entries */
+    static unsigned skipToPss = 0, skipToSwapPss = 0, skipToRollover = 0;
+    unsigned skippedToLearn = 0;
+
+    sprintf(mmapTmpArray, "/proc/%u/smaps", pid);
+    FILE *smap = fopen(mmapTmpArray, "r");
+    if (smap) {
+        unsigned lines_To_skip = skipToPss;
+        unsigned skipped = 1; // Tracks current skips
+        unsigned expect_pss = 1, expect_swappss = 0;
+        //unsigned expect_pss, expect_swappss;
+
+        unsigned pss, swappss;
+        while (fgets(mmapTmpArray, 1024, smap)) {
+#ifdef TEST_ME
+            if (sscanf(mmapTmpArray, "Pss: %u kB", &pss)) {
+                testpsstotal += pss;
+            }
+            else if (sscanf(mmapTmpArray, "SwapPss: %u kB", &swappss)) {
+                testswappsstotal += swappss;
+            }
+#endif
+            if (skipToRollover) { // Learnt the format
+                if (++skipped > lines_To_skip) {
+                    if (expect_pss) {
+                        if (sscanf(mmapTmpArray, "Pss: %u kB", &pss)) {
+                            PRINT_NOISE("Read Entry %s %u", mmapTmpArray, pss);
+                            lines_To_skip = skipToSwapPss;
+                            skipped = 1;
+                            expect_swappss = 1;
+                            expect_pss = 0;
+                            *psstotal += pss;
+                        }
+                        else {
+                            PRINT("Shouldn't get here..Error Reading Size from %s", mmapTmpArray);
+                        }
+                    }
+                    else if (expect_swappss) {
+                        if (sscanf(mmapTmpArray, "SwapPss: %u kB", &swappss)) {
+                            PRINT_NOISE("Read Entry %s %u", mmapTmpArray, swappss);
+                            skipped = 1;
+                            expect_pss = 1;
+                            expect_swappss = 0;
+                            *swappsstotal += swappss;
+                            lines_To_skip = skipToRollover;
+                        }
+                        else {
+                            PRINT("Shouldn't get here..Error Reading Rss from %s", mmapTmpArray);
+                        }
+                    }
+                } // if (++skipped > lines_To_skip)
+                else {
+                    PRINT_INFO("Skipping, skipped vs lines_To_skip %u:%u, line %s", skipped, lines_To_skip, mmapTmpArray);
+                }
+            } // if (skipToRollover) 
+            else { // Learn here
+                if (!skipToPss) {
+                    if (sscanf(mmapTmpArray, "Pss: %u kB", &pss)) {
+                        skipToPss = skippedToLearn + 1;
+                        skippedToLearn = 0;
+                        *psstotal += pss;
+                        PRINT_INFO("Read Pss %u after skipping %u lines - %s", pss, skipToPss, mmapTmpArray);
+                    }
+                    else {
+                        skippedToLearn++;
+                        PRINT_NOISE("skippedForPss: %u, %s\n", skippedToLearn, mmapTmpArray);
+                    }
+                }
+                else if (!skipToSwapPss) {
+                    if (sscanf(mmapTmpArray, "SwapPss: %u kB", &swappss)) {
+                        skipToSwapPss = skippedToLearn + 1;
+                        skippedToLearn = 0;
+                        *swappsstotal += swappss;
+                        PRINT_INFO("Read SwapPss %u after skipping %u lines - %s", swappss, skipToSwapPss, mmapTmpArray);
+                    }
+                    else {
+                        skippedToLearn++;
+                        PRINT_NOISE("skippedForSwapPss: %u, %s\n", skippedToLearn, mmapTmpArray);
+                    }
+                }
+                else if (!skipToRollover) {
+                    if (sscanf(mmapTmpArray, "Pss: %u kB", &pss)) {
+                        skipToRollover = skippedToLearn + 1;
+                        skippedToLearn = 0;
+                        *psstotal += pss;
+                        expect_swappss = 1;
+                        expect_pss = 0;
+                        skipped = 1;
+                        lines_To_skip = skipToSwapPss;
+                        PRINT_INFO("Read Pss %u by rollover after skipping %u lines - %s", pss, skipToRollover, mmapTmpArray);
+                    }
+                    else {
+                        skippedToLearn++;
+                        PRINT_NOISE("skippedForRollover: %u, %s\n", skippedToLearn, mmapTmpArray);
+                    }
+                                }
+                else {
+                    PRINT("%s:%d: Shouldn't get here..read line %s\n", __FUNCTION__, __LINE__, mmapTmpArray);
+                }
+            }
+        }
+        fclose(smap);
+    }
+    else {
+        PRINT("%s: Open failed, errno %d [%s]\n", mmapTmpArray, errno, strerror(errno));
+        return 1;
+    }
+    return 0;
+}
+
+void printMyStatFromLib()
+{
+    /* Use /proc/pid/stat to read name, flags, stime, utime */
+    char pathTmp[PATH_MAX];
+    unsigned long utime, stime;
+    unsigned long vsize=0, rss;
+    int pid = getpid();
+
+    sprintf(pathTmp, "/proc/%d/stat", pid);
+    FILE *fp = fopen(pathTmp, "r");
+    if (fp) {
+        if (5 <= fscanf(fp, "%*d %*c%s %*c %*d %*d %*d %*d %*d %*u %*u %*u %*u %*u %lu %lu %*d %*d %*d %*d %*d %*d %*u %lu %lu",
+                        pathTmp, &utime, &stime, &vsize, &rss)) {
+                pathTmp[strlen(pathTmp)-1] = '\0';
+        }
+        fclose(fp);
+        if (vsize) {
+            unsigned long pss=0, swappss=0;
+            getPSSandSwapPSS(pid, &pss, &swappss);
+            fp = fopen("/tmp/exitHandler.txt", "a");
+            if (fp) {
+                char tbuff[32];
+                char buff[PATH_MAX*4];
+                time_t timenow = time(NULL);
+                struct tm *tmNow = localtime(&timenow);
+                if (0 == strftime(tbuff, sizeof(tbuff), "%Y_%m_%d %H_%M_%S", tmNow)) {
+                    // Shouldn't fail unless mmapTmpArray is not big enough to hold
+                    sprintf(tbuff, "%lu", timenow); // see if this is warned in 32 bit systems..
+                }
+#ifdef TEST_ME
+                fwrite(buff, sprintf(buff, "%s: %d %s %lu %lu %lu, %lu[%lu], %lu[%lu]\n", tbuff, pid, pathTmp, utime, stime, rss*4, pss, testpsstotal, swappss, testswappsstotal), 1, fp);
+#else
+                fwrite(buff, sprintf(buff, "%s: %d %s %lu %lu %lu, %lu, %lu\n", tbuff, pid, pathTmp, utime, stime, rss*4, pss, swappss), 1, fp);
+#endif
+                PRINT("%d[%s]:\nutime %lu\nstime %lu\nvsize %lu\nrss %lu\npss %lu[%lu]\nswappss %lu[%lu]\n", pid, pathTmp, utime, stime, vsize/1024, rss*4, pss, testpsstotal, swappss, testswappsstotal);
+                fclose(fp);
+            }
+		}
+    }
+	else {
+		char buff[32];
+		fp = fopen("/tmp/exitHandler.txt", "a");
+		if (fp) {
+			fwrite(buff, sprintf(buff, "%d %d\n", pid, errno), 1, fp);
+			fclose(fp);
+		}
+	}
+}
+
+#if defined(INSTALL_EXIT_HANDLER)
+__attribute__((constructor)) void registerAtExitFromLib(void)
+#else
+void registerAtExitFromLib(void)
+#endif
+{
+    //PRINT("ATEXIT_MAX = %ld\n", sysconf(_SC_ATEXIT_MAX));
+    if (atexit(printMyStatFromLib)) {
+            PRINT("%s: Error atexit()\n", __FUNCTION__);
+    }
+    else
+            PRINT("%s: Registered atexit()\n", __FUNCTION__);
+    return;
+}
+
+__attribute__((destructor)) void AtExitFromLib(void)
+{
+    //fwrite("\ndest\n", strlen("\ndest\n"), 1, stderr);
+    //fwrite("dest2\n", strlen("dest2\n"), 1, stdout);
+    printMyStatFromLib();
+}
\ No newline at end of file
diff --git a/main.cpp b/main.cpp
index 909fd59..34e9b20 100644
--- a/main.cpp
+++ b/main.cpp
@@ -16,6 +16,8 @@ std::mutex gMutex;
 std::condition_variable gShutdown;
 
 static std::string gOutputFile;
+bool gCaptureMemData = false;
+std::string gMemPreloadLib;
 
 // Default to 30 seconds
 static int gDurationSeconds = 30;
@@ -30,6 +32,7 @@ static void displayUsage()
     printf("    -h, --help          Print this help and exit\n");
     printf("    -d, --duration      How long to capture data for (seconds)\n");
     printf("    -o  --output        File to save results to\n");
+    printf("    -m, --mem           Capture memory data\n");
 }
 
 /**
@@ -40,6 +43,7 @@ static void parseArgs(const int argc, char **argv)
     struct option longopts[] = {{"help", no_argument, nullptr, (int)'h'},
                                 {"duration", required_argument, nullptr, (int)'d'},
                                 {"output", required_argument, nullptr, (int)'o'},
+                                {"mem", required_argument, nullptr, (int)'m'},
                                 {nullptr, 0, nullptr, 0}};
 
     opterr = 0;
@@ -47,7 +51,7 @@ static void parseArgs(const int argc, char **argv)
     int option;
     int longindex;
 
-    while ((option = getopt_long(argc, argv, "hd:o:", longopts, &longindex)) != -1)
+    while ((option = getopt_long(argc, argv, "hd:o:m:", longopts, &longindex)) != -1)
     {
         switch (option)
         {
@@ -66,6 +70,19 @@ static void parseArgs(const int argc, char **argv)
         case 'o':
             gOutputFile = std::string(optarg);
             break;
+        case 'm':
+            {
+                std::string libPath = optarg ? std::string(optarg) : std::string{};
+                if (libPath.empty())
+                {
+                    Log("ERROR: --mem requires a library path");
+                    exit(EXIT_FAILURE);
+                }
+                gCaptureMemData = true;
+                gMemPreloadLib = libPath;
+                Log("Memory preload enabled with %s", gMemPreloadLib.c_str());
+                break;
+            }
         case '?':
             if (optopt == 'c')
                 fprintf(stderr, "Warning: Option -%c requires an argument.\n", optopt);
diff --git a/results_gui/index.html b/results_gui/index.html
index 7e5206c..5cf082e 100644
--- a/results_gui/index.html
+++ b/results_gui/index.html
@@ -3,25 +3,94 @@
 <head>
     <title>Process Timeline</title>
 
+    <!-- vis-timeline -->
     <script src="https://unpkg.com/vis-timeline@7.7.0/standalone/umd/vis-timeline-graph2d.min.js"></script>
     <link rel="stylesheet" href="https://unpkg.com/vis-timeline@7.7.0/dist/vis-timeline-graph2d.min.css"/>
+
+    <!-- Bootstrap -->
     <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet"
           integrity="sha384-GLhlTQ8iRABdZLl6O3oVMWSktQOp6b7In1Zl3/Jr59b6EGGoI1aFkw7cmDA6j6gD" crossorigin="anonymous">
 
+    <!-- jQuery + Select2 -->
     <script src="https://code.jquery.com/jquery-3.6.3.slim.min.js"
             integrity="sha256-ZwqZIVdD3iXNyGHbSYdsmWP//UBokj2FHAxKuSBKDSo=" crossorigin="anonymous"></script>
     <link href="https://cdn.jsdelivr.net/npm/select2@4.1.0-rc.0/dist/css/select2.min.css" rel="stylesheet"/>
-    <script src="https://cdn.jsdelivr.net/npm/select2@4.1.0-rc.0/dist/js/select2.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/select2@4.1.0-rc.0/dist/js/select2.js"></script>
+
+    <!-- Chart.js for the line graph -->
+    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
 
+    <!-- Generated results -->
     <script src="results.js"></script>
 
+    <style>
+        body {
+            font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+        }
+
+        /* Process cells */
+        .timeline-cell {
+            display: flex;
+            flex-direction: column;
+            gap: 4px;
+        }
+        .cell {
+            padding: 4px 6px;
+            border-radius: 4px;
+            text-align: center;
+            color: #fff;
+            font-size: 12px;
+            min-width: 110px;
+        }
+        .cell.process-name { background: #455a64; font-weight: 600; }
+        .cell.pss { background: #ff1744; }
+        .cell.swappss { background: #ffd600; color: #000; }
+        .cell.rss { background: #1e88e5; }
+        .cell.cpu-time { background: #9c27b0; }
+
+        .vis-item .vis-item-content { padding: 4px; }
+
+        #memory-stats-controls .form-check { margin-right: 1rem; }
+
+        /* Summary row */
+        .summary-group .vis-item {
+            color: #000;
+            font-weight: 600;
+            border: none;
+        }
+        .summary-cell {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            height: 100%;
+            font-size: 13px;
+            text-shadow: -1px -1px 0 #fff, 1px -1px 0 #fff, -1px 1px 0 #fff, 1px 1px 0 #fff;
+        }
+        
+        /* CPU summary row */
+        .cpu-summary-group .vis-item {
+            color: #000;
+            font-weight: 600;
+            border: none;
+        }
+
+        /* Timeline + chart container */
+        #timeline-panel { transition: all 0.2s ease; }
+
+        /* Chart area */
+        #activity-chart-container {
+            height: 180px;
+        }
+    </style>
 </head>
 <body>
 <div class="container-fluid">
     <div class="row mt-2">
-        <div class="col-9">
-            <h4>Timeline: <span id="start-time"></span> - <span id="end-time"></span>
+        <div class="col-9" id="timeline-panel">
+            <h4>
+                Timeline: <span id="start-time"></span> - <span id="end-time"></span>
                 <button class="btn btn-sm btn-primary ms-3" onclick="window.timeline.fit()">Reset Zoom</button>
+                <button class="btn btn-sm btn-secondary ms-2" onclick="toggleStatsPanel()">Toggle Stats</button>
             </h4>
             <div class="row my-2">
                 <label for="process-select" class="col-sm-1 col-form-label">Filter: </label>
@@ -31,8 +100,37 @@ <h4>Timeline: <span id="start-time"></span> - <span id="end-time"></span>
             </div>
             <div id="visualization"></div>
             <p class="mt-1 fst-italic">Hold Ctrl and scroll to zoom in/out</p>
+
+            <div id="activity-chart-container" class="mt-3">
+                <canvas id="activity-chart"></canvas>
+            </div>
+
+            <div id="memory-stats-controls" class="mt-3" style="display: none;">
+                <h5>Memory &amp; CPU Statistics</h5>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-pss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-pss">Show PSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-swappss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-swappss">Show SwapPSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-rss"
+                           onchange="applyCellRendering(); updateLineChartVisibility();">
+                    <label class="form-check-label" for="show-rss">Show RSS</label>
+                </div>
+                <div class="form-check form-check-inline">
+                    <input class="form-check-input" type="checkbox" id="show-cpu-time"
+                           onchange="applyCellRendering();">
+                    <label class="form-check-label" for="show-cpu-time">Show CPU Time (stime &amp; utime)</label>
+                </div>
+            </div>
         </div>
-        <div id="stats" class="col-3">
+
+        <div class="col-3" id="stats-panel">
             <h4>Top 10 Systemd Services</h4>
             <table class="table table-striped table-bordered table-sm mb-4" id="services-table">
                 <thead class="table-dark">
@@ -41,9 +139,9 @@ <h4>Top 10 Systemd Services</h4>
                     <th># Spawned Processes</th>
                 </tr>
                 </thead>
-                <tbody>
-                </tbody>
+                <tbody></tbody>
             </table>
+
             <h4>Top 10 Processes</h4>
             <table class="table table-striped table-bordered table-sm mb-4" id="stats-table">
                 <thead class="table-dark">
@@ -52,229 +150,479 @@ <h4>Top 10 Processes</h4>
                     <th># Executions</th>
                 </tr>
                 </thead>
-                <tbody>
-                </tbody>
-                <tfoot class="table-dark">
-                </tfoot>
+                <tbody></tbody>
+                <tfoot class="table-dark"></tfoot>
             </table>
+
             <h4>Selected Process</h4>
             <table class="table table-striped table-bordered table-sm">
                 <tbody>
-                <tr>
-                    <td>PID</td>
-                    <td id="selected-process-pid">-</td>
-                </tr>
-                <tr>
-                    <td>Name</td>
-                    <td id="selected-process-name">-</td>
-                </tr>
-                <tr>
-                    <td>Command Line</td>
-                    <td><code style="word-break: break-all" id="selected-process-comm">-</code></td>
-                </tr>
-                <tr>
-                    <td>Parent Command Line</td>
-                    <td><code style="word-break: break-all" id="selected-process-parent-comm">-</code></td>
-                </tr>
-                <tr>
-                    <td>Grandparent Command Line</td>
-                    <td><code style="word-break: break-all" id="selected-process-grandparent-comm">-</code></td>
-                </tr>
-                <tr>
-                    <td>Duration (ms)</td>
-                    <td id="selected-process-duration">-</td>
-                </tr>
-                <tr>
-                    <td>Exit Code</td>
-                    <td id="selected-process-exitcode">-</td>
-                </tr>
-                <tr>
-                    <td>Systemd Service</td>
-                    <td id="selected-process-systemd-service">-</td>
-                </tr>
+                <tr><td>PID</td><td id="selected-process-pid">-</td></tr>
+                <tr><td>Name</td><td id="selected-process-name">-</td></tr>
+                <tr><td>Command Line</td><td><code id="selected-process-comm">-</code></td></tr>
+                <tr><td>Parent Command Line</td><td><code id="selected-process-parent-comm">-</code></td></tr>
+                <tr><td>Grandparent Command Line</td><td><code id="selected-process-grandparent-comm">-</code></td></tr>
+                <tr><td>Duration (ms)</td><td id="selected-process-duration">-</td></tr>
+                <tr><td>Exit Code</td><td id="selected-process-exitcode">-</td></tr>
+                <tr><td>Systemd Service</td><td id="selected-process-systemd-service">-</td></tr>
+                <tr id="selected-process-pss-row" style="display:none;"><td>PSS (KB)</td><td id="selected-process-pss">-</td></tr>
+                <tr id="selected-process-swappss-row" style="display:none;"><td>SwapPSS (KB)</td><td id="selected-process-swappss">-</td></tr>
+                <tr id="selected-process-rss-row" style="display:none;"><td>RSS (KB)</td><td id="selected-process-rss">-</td></tr>
+                <tr id="selected-process-cpu-time-row" style="display:none;"><td>CPU Time (stime, utime)</td><td id="selected-process-cpu-time">-</td></tr>
                 </tbody>
             </table>
         </div>
     </div>
-
 </div>
 
-<script type="text/javascript">
-    function setClusterOptions(enable, zoom = false) {
-        if (enable) {
-            if (!zoom) {
-                window.timeline.setOptions({
-                    cluster: {
-                        titleTemplate: "{count} more events - double click to focus",
-                        maxItems: 1
-                    }
-                });
-            } else {
-                // Whilst zoomed in, show more items before clustering since we have more screen space
-                window.timeline.setOptions({
-                    cluster: {
-                        titleTemplate: "{count} more events - double click to focus",
-                        maxItems: 10
-                    }
-                });
-            }
+<script>
+    const CLOCK_TICKS_PER_SEC = 100;
+    let activityChart = null;
+
+    // Preserve original content text
+    results.processes = results.processes.map(proc => ({
+        ...proc,
+        originalContent: proc.content
+    }));
+
+    function hasMemoryData() {
+        return results.processes.some(p =>
+            'pss' in p || 'swapPss' in p || 'rss' in p || 'utime' in p || 'stime' in p);
+    }
+
+    function jiffiesToMs(jiffies) {
+        return Math.round((jiffies * 1000) / CLOCK_TICKS_PER_SEC);
+    }
+
+    function toggleStatsPanel() {
+        const statsPanel = document.getElementById('stats-panel');
+        const timelinePanel = document.getElementById('timeline-panel');
+        if (!statsPanel || !timelinePanel) return;
 
+        if (statsPanel.style.display === 'none') {
+            statsPanel.style.display = '';
+            timelinePanel.classList.remove('col-12');
+            timelinePanel.classList.add('col-9');
         } else {
+            statsPanel.style.display = 'none';
+            timelinePanel.classList.remove('col-9');
+            timelinePanel.classList.add('col-12');
+        }
+        if (window.timeline) {
+            setTimeout(() => window.timeline.redraw(), 200);
+        }
+    }
+
+    function setClusterOptions(enable, zoom = false) {
+        if (!window.timeline) return;
+        if (enable) {
             window.timeline.setOptions({
-                cluster: false
+                cluster: {
+                    titleTemplate: "{count} more events - double click to focus",
+                    maxItems: zoom ? 10 : 1
+                }
             });
+        } else {
+            window.timeline.setOptions({cluster: false});
         }
     }
 
     function filterGroups() {
-        let selected = document.getElementById('process-select').value;
-
-        // Work around a weird bug - have to disable clustering before hiding/showing groups
+        const selected = document.getElementById('process-select').value;
         setClusterOptions(false);
-
         if (selected === '__all_processes__') {
             window.timeline.fit();
-            window.groups.forEach(function (group) {
-                window.groups.update({id: group.id, visible: true});
-            });
-            // Renable clustering
+            window.groups.forEach(g => window.groups.update({id: g.id, visible: true}));
             setClusterOptions(true);
         } else {
             window.timeline.fit();
-            window.groups.forEach(function (group) {
-                window.groups.update({id: group.id, visible: group.id === selected});
-            });
-            // Renable clustering
+            window.groups.forEach(g => window.groups.update({id: g.id, visible: g.id === selected}));
             setClusterOptions(true, true);
         }
     }
 
-    function showTopProcess() {
-        let sorted = results.stats.processes.sort((a, b) => (b.frequency - a.frequency));
-
-        let max = sorted.length;
-        if (max > 10) {
-            max = 10;
+    function buildCells(proc) {
+        const showPss = document.getElementById('show-pss').checked;
+        const showSwapPss = document.getElementById('show-swappss').checked;
+        const showRss = document.getElementById('show-rss').checked;
+        const showCpuTime = document.getElementById('show-cpu-time').checked;
+
+        const cells = [];
+        cells.push(`<div class="cell process-name">${proc.originalContent}</div>`);
+        if (showPss && 'pss' in proc) cells.push(`<div class="cell pss">${proc.pss} KB</div>`);
+        if (showSwapPss && 'swapPss' in proc) cells.push(`<div class="cell swappss">${proc.swapPss} KB</div>`);
+        if (showRss && 'rss' in proc) cells.push(`<div class="cell rss">${proc.rss} KB</div>`);
+        if (showCpuTime && 'utime' in proc && 'stime' in proc) {
+            const utimeMs = jiffiesToMs(proc.utime);
+            const stimeMs = jiffiesToMs(proc.stime);
+            const totalMs = utimeMs + stimeMs;
+            cells.push(`<div class="cell cpu-time">(${stimeMs}, ${utimeMs}) | ${totalMs} ms</div>`);
         }
+        return `<div class="timeline-cell">${cells.join('')}</div>`;
+    }
 
-        for (let i = 0; i < max; i++) {
-            let row = document.getElementById('stats-table').getElementsByTagName('tbody')[0].insertRow();
-            row.insertCell().appendChild(document.createTextNode(results.stats.processes[i].process));
-            row.insertCell().appendChild(document.createTextNode(results.stats.processes[i].frequency));
-        }
+    function applyCellRendering() {
+        if (!window.items) return;
+        const updates = results.processes.map(proc => ({
+            id: proc.id,
+            content: buildCells(proc)
+        }));
+        window.items.update(updates);
+    }
+
+    function bucketizeWithMem(processes) {
+        const buckets = new Map();
+        processes.forEach(proc => {
+            const startSec = Math.floor(proc.start / 1000);
+            const endSec = Math.floor(proc.end / 1000);
+            const durationMs = proc.end - proc.start;
+            
+            // Calculate total CPU time in ms
+            let totalCpuMs = 0;
+            if ('utime' in proc && 'stime' in proc) {
+                totalCpuMs = jiffiesToMs(proc.utime + proc.stime);
+            }
+            const cpuPerMs = durationMs > 0 ? totalCpuMs / durationMs : 0;
+            
+            for (let sec = startSec; sec <= endSec; sec++) {
+                if (!buckets.has(sec)) {
+                    buckets.set(sec, { count: 0, pssTotal: 0, swapPssTotal: 0, rssTotal: 0, cpuTotal: 0 });
+                }
+                const bucket = buckets.get(sec);
+                bucket.count += 1;
+                if ('pss' in proc) bucket.pssTotal += proc.pss;
+                if ('swapPss' in proc) bucket.swapPssTotal += proc.swapPss;
+                if ('rss' in proc) bucket.rssTotal += proc.rss;
+                
+                // Calculate overlap with this second bucket
+                const bucketStart = sec * 1000;
+                const bucketEnd = bucketStart + 1000;
+                const overlapStart = Math.max(proc.start, bucketStart);
+                const overlapEnd = Math.min(proc.end, bucketEnd);
+                const overlapMs = Math.max(0, overlapEnd - overlapStart);
+                
+                // Proportional CPU contribution
+                bucket.cpuTotal += cpuPerMs * overlapMs;
+            }
+        });
+        return buckets;
+    }
 
-        let totalExecutions = 0;
-        for (let i = 0; i < sorted.length; i++) {
-            totalExecutions += results.stats.processes[i].frequency;
+    function updateLineChartVisibility() {
+        if (!activityChart) return;
+        const showPss = document.getElementById('show-pss').checked;
+        const showSwapPss = document.getElementById('show-swappss').checked;
+        const showRss = document.getElementById('show-rss').checked;
+
+        // dataset indices: 0=count, 1=pss, 2=swap, 3=rss, 4=cpu
+        activityChart.setDatasetVisibility(1, showPss);
+        activityChart.setDatasetVisibility(2, showSwapPss);
+        activityChart.setDatasetVisibility(3, showRss);
+        // CPU total line is always shown, can be toggled via chart legend
+        activityChart.update();
+    }
+    
+    function getHeatmapColor(value, maxValue) {
+        if (maxValue === 0) return '#e0e0e0';
+        const ratio = value / maxValue;
+        // Cool to warm: blue -> cyan -> green -> yellow -> orange -> red
+        if (ratio < 0.2) {
+            const t = ratio / 0.2;
+            return `rgb(${Math.round(66 + (0 - 66) * t)}, ${Math.round(165 + (255 - 165) * t)}, ${Math.round(245 + (255 - 245) * t)})`;
+        } else if (ratio < 0.4) {
+            const t = (ratio - 0.2) / 0.2;
+            return `rgb(${Math.round(0 + (76 - 0) * t)}, ${Math.round(255 + (175 - 255) * t)}, ${Math.round(255 + (80 - 255) * t)})`;
+        } else if (ratio < 0.6) {
+            const t = (ratio - 0.4) / 0.2;
+            return `rgb(${Math.round(76 + (255 - 76) * t)}, ${Math.round(175 + (235 - 175) * t)}, ${Math.round(80 + (59 - 80) * t)})`;
+        } else if (ratio < 0.8) {
+            const t = (ratio - 0.6) / 0.2;
+            return `rgb(${Math.round(255)}, ${Math.round(235 + (152 - 235) * t)}, ${Math.round(59 + (0 - 59) * t)})`;
+        } else {
+            const t = (ratio - 0.8) / 0.2;
+            return `rgb(${Math.round(255 + (244 - 255) * t)}, ${Math.round(152 + (67 - 152) * t)}, ${Math.round(0 + (54 - 0) * t)})`;
         }
-        let row = document.getElementById('stats-table').getElementsByTagName('tfoot')[0].insertRow();
-        row.insertCell().appendChild(document.createTextNode("Total"));
-        row.insertCell().appendChild(document.createTextNode(totalExecutions.toString()));
     }
 
     function showTopServices() {
-        let sorted = results.stats.services.sort((a, b) => (b.frequency - a.frequency));
-
-        let max = sorted.length;
-        if (max > 10) {
-            max = 10;
-        }
+        const sorted = [...results.stats.services].sort((a, b) => b.frequency - a.frequency);
+        const tbody = document.querySelector('#services-table tbody');
+        sorted.slice(0, 10).forEach(entry => {
+            const row = tbody.insertRow();
+            row.insertCell().textContent = entry.serviceName;
+            row.insertCell().textContent = entry.frequency;
+        });
+    }
 
-        for (let i = 0; i < max; i++) {
-            let row = document.getElementById('services-table').getElementsByTagName('tbody')[0].insertRow();
-            row.insertCell().appendChild(document.createTextNode(results.stats.services[i].serviceName));
-            row.insertCell().appendChild(document.createTextNode(results.stats.services[i].frequency));
-        }
+    function showTopProcesses() {
+        const sorted = [...results.stats.processes].sort((a, b) => b.frequency - a.frequency);
+        const tbody = document.querySelector('#stats-table tbody');
+        sorted.slice(0, 10).forEach(entry => {
+            const row = tbody.insertRow();
+            row.insertCell().textContent = entry.process;
+            row.insertCell().textContent = entry.frequency;
+        });
+        const total = sorted.reduce((sum, entry) => sum + entry.frequency, 0);
+        const foot = document.querySelector('#stats-table tfoot');
+        const footRow = foot.insertRow();
+        footRow.insertCell().textContent = 'Total';
+        footRow.insertCell().textContent = total;
     }
 
     function renderTimeline() {
-        if (window.timeline != null) {
-            window.timeline.destroy();
-            window.timeline = null;
-        }
+        const container = document.getElementById('visualization');
+        window.items = new vis.DataSet(results.processes);
+        window.groups = new vis.DataSet(results.groups);
 
-        // DOM element where the Timeline will be attached
-        let container = document.getElementById('visualization');
+        const buckets = bucketizeWithMem(results.processes);
+        const summaryItems = [];
+        const cpuSummaryItems = [];
+        const bucketLabels = [];
+        const bucketCounts = [];
+        const bucketPssTotals = [];
+        const bucketSwapTotals = [];
+        const bucketRssTotals = [];
+        const bucketCpuTotals = [];
+
+        // Find max values for heatmap scaling
+        let maxCount = 0;
+        let maxCpu = 0;
+        buckets.forEach((data) => {
+            maxCount = Math.max(maxCount, data.count);
+            maxCpu = Math.max(maxCpu, data.cpuTotal);
+        });
 
-        // Create a DataSet (allows two way data-binding)
-        let items = new vis.DataSet(results.processes);
-        window.groups = new vis.DataSet(results.groups);
+        buckets.forEach((data, second) => {
+            const activityColor = getHeatmapColor(data.count, maxCount);
+            const cpuColor = getHeatmapColor(data.cpuTotal, maxCpu);
+            
+            summaryItems.push({
+                id: `bucket_${second}`,
+                group: 'summary',
+                start: second * 1000,
+                end: second * 1000 + 1000,
+                content: `<div class="summary-cell">${data.count}</div>`,
+                style: `background: ${activityColor};`
+            });
+            
+            cpuSummaryItems.push({
+                id: `cpu_bucket_${second}`,
+                group: 'cpu-summary',
+                start: second * 1000,
+                end: second * 1000 + 1000,
+                content: `<div class="summary-cell">${Math.round(data.cpuTotal)}</div>`,
+                style: `background: ${cpuColor};`
+            });
+            
+            bucketLabels.push(new Date(second * 1000));
+            bucketCounts.push(data.count);
+            bucketPssTotals.push(data.pssTotal);
+            bucketSwapTotals.push(data.swapPssTotal);
+            bucketRssTotals.push(data.rssTotal);
+            bucketCpuTotals.push(Math.round(data.cpuTotal));
+        });
 
-        // Configuration for the Timeline
-        let options = {
+        if (summaryItems.length) {
+            window.groups.add({
+                id: 'summary',
+                content: 'Activity per Second',
+                className: 'summary-group',
+                stack: false,
+                stackSubgroups: false
+            });
+            window.items.add(summaryItems);
+        }
+        
+        if (cpuSummaryItems.length) {
+            window.groups.add({
+                id: 'cpu-summary',
+                content: 'CPU per Second (ms)',
+                className: 'cpu-summary-group',
+                stack: false,
+                stackSubgroups: false
+            });
+            window.items.add(cpuSummaryItems);
+        }
+
+        window.timeline = new vis.Timeline(container, window.items, {
             stack: true,
-            verticalScroll: true,
-            zoomKey: "ctrlKey",
+            zoomMin: 1000,
+            zoomMax: 24 * 3600 * 1000,
+            zoomKey: 'ctrlKey',
             maxHeight: window.innerHeight - 150,
-            groupOrder: "content",
-            min: results.start,
-            max: results.end
-        };
-
-        // Show dropdown for selection
-        let dropdown = document.getElementById('process-select');
-
-        // Add 'all' option
-        let allOption = document.createElement('option');
-        allOption.text = "Show all";
-        allOption.value = "__all_processes__";
+            groupOrder: function(a, b) {
+                if (a.id === 'summary' && b.id !== 'summary' && b.id !== 'cpu-summary') return 1;
+                if (a.id === 'cpu-summary' && b.id !== 'summary' && b.id !== 'cpu-summary') return 1;
+                if (b.id === 'summary' && a.id !== 'summary' && a.id !== 'cpu-summary') return -1;
+                if (b.id === 'cpu-summary' && a.id !== 'summary' && a.id !== 'cpu-summary') return -1;
+                if (a.id === 'summary' && b.id === 'cpu-summary') return 1;
+                if (a.id === 'cpu-summary' && b.id === 'summary') return -1;
+                return String(a.content).localeCompare(String(b.content));
+            }
+        });
+        window.timeline.setGroups(window.groups);
+
+        // Filter dropdown
+        const dropdown = document.getElementById('process-select');
+        const allOption = document.createElement('option');
+        allOption.value = '__all_processes__';
+        allOption.textContent = 'Show all';
         allOption.selected = true;
-        dropdown.add(allOption);
+        dropdown.appendChild(allOption);
 
-        results.groups.sort((a, b) => (a.content.localeCompare(b.content))).forEach((group) => {
-            let option = document.createElement('option');
-            option.text = group.content;
-            option.value = group.content;
-            dropdown.add(option);
+        results.groups.slice().sort((a, b) => a.content.localeCompare(b.content)).forEach(group => {
+            const opt = document.createElement('option');
+            opt.value = group.content;
+            opt.textContent = group.content;
+            dropdown.appendChild(opt);
         });
-
         $('#process-select').select2();
 
-        // Create a Timeline
-        window.timeline = new vis.Timeline(container, items, options);
-        timeline.setGroups(groups);
-        setClusterOptions(true);
-
-        // Show selected processes
-        timeline.on('select', function (properties) {
-            let id = properties.items[0];
-
-            let process = results.processes.find(obj => {
-                return obj.id === id;
+        // Selected process details
+        window.timeline.on('select', props => {
+            const id = props.items[0];
+            if (!id) return;
+            const process = results.processes.find(p => p.id === id);
+            if (!process) return;
+
+            document.getElementById('selected-process-pid').textContent = process.pid;
+            document.getElementById('selected-process-name').textContent = process.originalContent;
+            document.getElementById('selected-process-comm').textContent = process.fullCommandLine;
+            document.getElementById('selected-process-duration').textContent = (process.end - process.start).toString();
+            document.getElementById('selected-process-parent-comm').textContent = process.parentCommandLine;
+            document.getElementById('selected-process-grandparent-comm').textContent = process.grandparentCommandLine;
+            document.getElementById('selected-process-exitcode').textContent = process.exitCode;
+            document.getElementById('selected-process-systemd-service').textContent = process.systemdService;
+
+            const rows = [
+                { key: 'pss', row: 'selected-process-pss-row', val: 'selected-process-pss', suffix: ' KB' },
+                { key: 'swapPss', row: 'selected-process-swappss-row', val: 'selected-process-swappss', suffix: ' KB' },
+                { key: 'rss', row: 'selected-process-rss-row', val: 'selected-process-rss', suffix: ' KB' }
+            ];
+
+            rows.forEach(entry => {
+                if (entry.key in process) {
+                    const value = entry.transform ? entry.transform(process[entry.key]) : process[entry.key];
+                    document.getElementById(entry.val).textContent = `${value}${entry.suffix}`;
+                    document.getElementById(entry.row).style.display = '';
+                } else {
+                    document.getElementById(entry.row).style.display = 'none';
+                }
             });
 
-            if (process != null) {
-                document.getElementById('selected-process-pid').innerText = process.pid;
-                document.getElementById('selected-process-name').innerText = process.content;
-                document.getElementById('selected-process-comm').innerText = process.fullCommandLine;
-                document.getElementById('selected-process-duration').innerText = (process.end - process.start).toString();
-                document.getElementById('selected-process-parent-comm').innerText = process.parentCommandLine;
-                document.getElementById('selected-process-grandparent-comm').innerText = process.grandparentCommandLine;
-                document.getElementById('selected-process-exitcode').innerText = process.exitCode;
-                document.getElementById('selected-process-systemd-service').innerText = process.systemdService;
+            // Handle CPU time separately
+            if ('utime' in process && 'stime' in process) {
+                const utimeMs = jiffiesToMs(process.utime);
+                const stimeMs = jiffiesToMs(process.stime);
+                const totalMs = utimeMs + stimeMs;
+                document.getElementById('selected-process-cpu-time').textContent = `(${stimeMs}, ${utimeMs}) | ${totalMs} ms`;
+                document.getElementById('selected-process-cpu-time-row').style.display = '';
             } else {
-                document.getElementById('selected-process-pid').innerText = "-";
-                document.getElementById('selected-process-name').innerText = "-";
-                document.getElementById('selected-process-comm').innerText = "-";
-                document.getElementById('selected-process-duration').innerText = "-";
-                document.getElementById('selected-process-parent-comm').innerText = "-";
-                document.getElementById('selected-process-grandparent-comm').innerText = "-";
-                document.getElementById('selected-process-exitcode').innerText = "-";
-                document.getElementById('selected-process-systemd-service').innerText = "-";
+                document.getElementById('selected-process-cpu-time-row').style.display = 'none';
             }
         });
 
-        // Show stats (top 5 processes)
-        showTopProcess();
+        // Stats tables
         showTopServices();
+        showTopProcesses();
 
+        document.getElementById('start-time').textContent = new Date(results.start).toLocaleString();
+        document.getElementById('end-time').textContent = new Date(results.end).toLocaleString();
 
-        document.getElementById('start-time').innerText = new Date(results.start).toLocaleString();
-        document.getElementById('end-time').innerText = new Date(results.end).toLocaleString();
-
-        // Show top systemd services
+        if (hasMemoryData()) {
+            document.getElementById('memory-stats-controls').style.display = 'block';
+            applyCellRendering();
+        }
 
+        // Line chart
+        const chartCanvas = document.getElementById('activity-chart');
+        if (chartCanvas && bucketLabels.length > 0) {
+            const ctx = chartCanvas.getContext('2d');
+            activityChart = new Chart(ctx, {
+                type: 'line',
+                data: {
+                    labels: bucketLabels.map(d => d.toLocaleTimeString()),
+                    datasets: [
+                        {
+                            label: 'Process count',
+                            data: bucketCounts,
+                            borderColor: '#000000',
+                            backgroundColor: 'rgba(0,0,0,0.05)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y'
+                        },
+                        {
+                            label: 'PSS total (KB)',
+                            data: bucketPssTotals,
+                            borderColor: '#ff1744',
+                            backgroundColor: 'rgba(255,23,68,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'SwapPSS total (KB)',
+                            data: bucketSwapTotals,
+                            borderColor: '#ffd600',
+                            backgroundColor: 'rgba(255,214,0,0.2)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'RSS total (KB)',
+                            data: bucketRssTotals,
+                            borderColor: '#1e88e5',
+                            backgroundColor: 'rgba(30,136,229,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y1'
+                        },
+                        {
+                            label: 'CPU total (ms)',
+                            data: bucketCpuTotals,
+                            borderColor: '#228B22',
+                            backgroundColor: 'rgba(255,111,0,0.1)',
+                            tension: 0.2,
+                            pointRadius: 0,
+                            yAxisID: 'y2'
+                        }
+                    ]
+                },
+                options: {
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    scales: {
+                        x: {
+                            type: 'category',
+                            title: { display: true, text: 'Time' }
+                        },
+                        y: {
+                            beginAtZero: true,
+                            title: { display: true, text: 'Process count' }
+                        },
+                        y1: {
+                            beginAtZero: true,
+                            position: 'right',
+                            grid: { drawOnChartArea: false },
+                            title: { display: true, text: 'PSS / SwapPSS / RSS (KB)' }
+                        },
+                        y2: {
+                            beginAtZero: true,
+                            position: 'right',
+                            grid: { drawOnChartArea: false },
+                            title: { display: true, text: 'CPU (ms)' }
+                        }
+                    },
+                    plugins: {
+                        legend: { display: true, position: 'bottom' }
+                    }
+                }
+            });
 
+            updateLineChartVisibility();
+        }
     }
 
     renderTimeline();
diff --git a/results_parser.py b/results_parser.py
deleted file mode 100644
index eeaaadf..0000000
--- a/results_parser.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import json
-import argparse
-import os.path as path
-
-
-def parse(filename):
-    with open(filename) as results_file:
-        results = results_file.read()
-        results = results.replace('let results = ', '')
-        results = results.replace(';', '')
-
-        results_json = json.loads(results)
-
-        stats = results_json['stats']
-
-        print("")
-        print("Processes per group")
-        print("-----------------------")
-
-        groups = []
-
-        for group in results_json['groups']:
-            processes_in_group = results_json['processes']
-            tmp = [x for x in processes_in_group if x['group'] == group['id']]
-
-            unique_child_procs = {}
-            for proc in tmp:
-                name = proc['content']
-
-                if unique_child_procs.get(name):
-                    unique_child_procs[name] += 1
-                else:
-                    unique_child_procs[name] = 1
-
-            g = {}
-            g['name'] = group['content']
-            g['frequency'] = len(tmp)
-            g['unique_children'] = dict(sorted(unique_child_procs.items(), key=lambda item: item[1], reverse=True))
-
-            groups.append(g)
-
-        for group in sorted(groups, key=lambda k: k['frequency'], reverse=True):
-            print(f"{group['name']}: {group['frequency']}")
-            for child in group['unique_children']:
-                print(f"\t|- {child}: {group['unique_children'][child]} ({round(group['unique_children'][child] / group['frequency'] * 100, 2)}%)")
-
-
-        print("Top systemd services")
-        print("-----------------------")
-        for service in sorted(stats['services'], key=lambda k: k['frequency'], reverse=True):
-            print(f"{service['serviceName']}: {service['frequency']}")
-
-        print("")
-        print("Top unique processes")
-        print("-----------------------")
-        for process in sorted(stats['processes'], key=lambda k: k['frequency'], reverse=True):
-            print(f"{process['process']}: {process['frequency']}")
-
-
-def main():
-    parser = argparse.ArgumentParser(prog='ProcessMonitor results parser',
-                                     description='Tool to quickly parse the results from ProcessMonitor without needing to load the timeline')
-    parser.add_argument('filename', help="Path to the results file generated by ProcessMonitor")
-    args = parser.parse_args()
-
-    if not path.isfile(args.filename):
-        print(f"Cannot find file {args.filename}")
-        return
-
-    parse(args.filename)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/scripts/analyze_pss.py b/scripts/analyze_pss.py
new file mode 100644
index 0000000..a66004c
--- /dev/null
+++ b/scripts/analyze_pss.py
@@ -0,0 +1,389 @@
+import json
+import re
+import pandas as pd
+import matplotlib.pyplot as plt
+from datetime import datetime
+from pathlib import Path
+import glob
+import sys
+import argparse
+
+def extract_results_from_js(js_file_path):
+    """Extract the results object from results.js"""
+    try:
+        with open(js_file_path, 'r') as f:
+            content = f.read()
+        
+        # Extract JSON from "let results = {...};" or "const results = {...};" or "var results = {...};"
+        match = re.search(r'(?:let|const|var)\s+results\s*=\s*({.*?});', content, re.DOTALL)
+        if match:
+            return json.loads(match.group(1))
+        
+        # Try without semicolon
+        match = re.search(r'(?:let|const|var)\s+results\s*=\s*({.*?})\s*$', content, re.DOTALL | re.MULTILINE)
+        if match:
+            return json.loads(match.group(1))
+            
+        return None
+    except Exception as e:
+        print(f"✗ Error parsing results.js: {e}")
+        return None
+
+def process_results_js(results):
+    """Extract PSS data from Process Monitor results"""
+    pss_data = []
+    
+    for process in results.get('processes', []):
+        if 'pss' in process and 'start' in process:
+            pss_data.append({
+                'timestamp': datetime.fromtimestamp(process['start'] / 1000),
+                'pss_kb': process['pss'],
+                'pid': process['pid'],
+                'name': process.get('content', 'Unknown')
+            })
+    
+    return pd.DataFrame(pss_data)
+
+def parse_meminsight_filename(filename):
+    """Parse meminsight filename to extract timestamp"""
+    # Format: f0463b5c0008_20251117062026_iter1_meminsight.csv
+    match = re.search(r'_(\d{14})_iter(\d+)_', filename)
+    if match:
+        timestamp_str = match.group(1)
+        iter_num = int(match.group(2))
+        timestamp = datetime.strptime(timestamp_str, '%Y%m%d%H%M%S')
+        return timestamp, iter_num
+    return None, None
+
+def parse_meminsight_csv(csv_file):
+    """Parse a single meminsight CSV file and extract PSS values"""
+    try:
+        with open(csv_file, 'r') as f:
+            lines = f.readlines()
+        
+        # Find the line that starts with "PID,EXE,RSS,PSS"
+        header_index = None
+        for i, line in enumerate(lines):
+            if line.strip().startswith('PID,EXE,RSS,PSS'):
+                header_index = i
+                break
+        
+        if header_index is None:
+            return None, "No process header found"
+        
+        # Parse process data
+        pss_values = []
+        for i in range(header_index + 1, len(lines)):
+            line = lines[i].strip()
+            if not line or line.startswith('#'):
+                continue
+            
+            parts = line.split(',')
+            if len(parts) < 4:
+                continue
+            
+            # Get the 4th column (index 3) which is PSS
+            try:
+                pid = parts[0].strip()
+                pss = float(parts[3].strip())
+                
+                # Skip the Total line (PID = 0) and lines with PID = 0
+                if pid == '0' or pid.lower() == 'total':
+                    continue
+                
+                pss_values.append(pss)
+            except (ValueError, IndexError):
+                continue
+        
+        if not pss_values:
+            return None, "No valid PSS data found"
+        
+        # Calculate total PSS (sum of all processes)
+        total_pss = sum(pss_values)
+        return total_pss, None
+        
+    except Exception as e:
+        return None, str(e)
+
+def process_meminsight_files(meminsight_dir):
+    """Process all meminsight CSV files and aggregate PSS data"""
+    csv_files = sorted(glob.glob(str(Path(meminsight_dir) / '*_meminsight.csv')))
+    
+    if not csv_files:
+        print(f"   ⚠ Warning: No CSV files found in {meminsight_dir}")
+        return pd.DataFrame()
+    
+    print(f"   Found {len(csv_files)} CSV files")
+    
+    all_data = []
+    errors = []
+    
+    for csv_file in csv_files:
+        filename = Path(csv_file).name
+        timestamp, iter_num = parse_meminsight_filename(filename)
+        
+        if timestamp is None:
+            print(f"   ⚠ Warning: Could not parse timestamp from {filename}")
+            continue
+        
+        total_pss, error = parse_meminsight_csv(csv_file)
+        
+        if error:
+            errors.append(f"{filename}: {error}")
+            continue
+        
+        if total_pss is not None:
+            all_data.append({
+                'timestamp': timestamp,
+                'pss_kb': total_pss,
+                'iter': iter_num,
+                'file': filename
+            })
+    
+    if errors:
+        print(f"   ⚠ Encountered {len(errors)} error(s):")
+        for error in errors[:5]:  # Show first 5 errors
+            print(f"      - {error}")
+        if len(errors) > 5:
+            print(f"      ... and {len(errors) - 5} more")
+    
+    if all_data:
+        result_df = pd.DataFrame(all_data)
+        result_df = result_df.sort_values('timestamp')  # Sort by timestamp
+        print(f"   ✓ Successfully processed {len(result_df)} files")
+        print(f"   Iteration range: {result_df['iter'].min()} to {result_df['iter'].max()}")
+        
+        # Show sample of data
+        print(f"\n   Sample data:")
+        for _, row in result_df.head(3).iterrows():
+            print(f"      Iter {row['iter']:2d}: {row['timestamp']} - PSS: {row['pss_kb']:>10,.0f} KB")
+        if len(result_df) > 3:
+            print(f"      ...")
+            for _, row in result_df.tail(2).iterrows():
+                print(f"      Iter {row['iter']:2d}: {row['timestamp']} - PSS: {row['pss_kb']:>10,.0f} KB")
+        
+        return result_df
+    else:
+        print("   ✗ Error: No data could be extracted from CSV files")
+        return pd.DataFrame()
+
+def plot_pss_comparison(process_monitor_df, meminsight_df, output_path=None):
+    """Plot PSS data from both sources"""
+    fig, ax = plt.subplots(figsize=(16, 8))
+    
+    has_pm_data = False
+    has_mi_data = False
+    
+    # Plot Process Monitor data (aggregated by second)
+    if not process_monitor_df.empty:
+        # Aggregate PSS by second
+        pm_grouped = process_monitor_df.groupby(
+            process_monitor_df['timestamp'].dt.floor('S')
+        )['pss_kb'].sum().reset_index()
+        
+        ax.plot(pm_grouped['timestamp'], pm_grouped['pss_kb'], 
+                color='red', linewidth=2, label='Process Monitor (Total PSS)', 
+                marker='o', markersize=4, alpha=0.8)
+        print(f"   ✓ Plotted {len(pm_grouped)} Process Monitor data points")
+        has_pm_data = True
+    
+    # Plot meminsight data
+    if not meminsight_df.empty:
+        ax.plot(meminsight_df['timestamp'], meminsight_df['pss_kb'], 
+                color='green', linewidth=2, label='Meminsight (Total PSS)', 
+                marker='s', markersize=5, alpha=0.8)
+        print(f"   ✓ Plotted {len(meminsight_df)} Meminsight data points")
+        has_mi_data = True
+    
+    if not has_pm_data and not has_mi_data:
+        print("   ✗ No data to plot")
+        plt.close(fig)
+        return
+    
+    ax.set_xlabel('Timestamp', fontsize=12, fontweight='bold')
+    ax.set_ylabel('Total PSS (KB)', fontsize=12, fontweight='bold')
+    ax.set_title('PSS Comparison: Process Monitor vs Meminsight', 
+                 fontsize=14, fontweight='bold')
+    ax.legend(loc='best', fontsize=11)
+    ax.grid(True, alpha=0.3, linestyle='--')
+    
+    # Format y-axis with commas
+    ax.yaxis.set_major_formatter(plt.FuncFormatter(lambda x, p: f'{int(x):,}'))
+    
+    # Format x-axis to show time nicely
+    plt.xticks(rotation=45, ha='right')
+    fig.tight_layout()
+    
+    # Save plot
+    if output_path is None:
+        output_path = Path.cwd() / 'pss_comparison.png'
+    else:
+        output_path = Path(output_path)
+    
+    plt.savefig(output_path, dpi=300, bbox_inches='tight')
+    print(f"\n✓ Plot saved to: {output_path}")
+    
+    plt.show()
+
+def print_statistics(pm_df, mi_df):
+    """Print statistics summary"""
+    print("\n" + "=" * 70)
+    print("STATISTICS SUMMARY")
+    print("=" * 70)
+    
+    if not pm_df.empty:
+        pm_grouped = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_kb'].sum()
+        print(f"\n📊 Process Monitor:")
+        print(f"   Data points:     {len(pm_grouped)}")
+        print(f"   Min PSS:         {pm_grouped.min():>15,.0f} KB")
+        print(f"   Max PSS:         {pm_grouped.max():>15,.0f} KB")
+        print(f"   Mean PSS:        {pm_grouped.mean():>15,.0f} KB")
+        print(f"   Median PSS:      {pm_grouped.median():>15,.0f} KB")
+        print(f"   Std Dev:         {pm_grouped.std():>15,.0f} KB")
+    else:
+        print(f"\n📊 Process Monitor: No data")
+    
+    if not mi_df.empty:
+        print(f"\n📊 Meminsight:")
+        print(f"   Data points:     {len(mi_df)}")
+        print(f"   Iterations:      {mi_df['iter'].min()} to {mi_df['iter'].max()}")
+        print(f"   Min PSS:         {mi_df['pss_kb'].min():>15,.0f} KB")
+        print(f"   Max PSS:         {mi_df['pss_kb'].max():>15,.0f} KB")
+        print(f"   Mean PSS:        {mi_df['pss_kb'].mean():>15,.0f} KB")
+        print(f"   Median PSS:      {mi_df['pss_kb'].median():>15,.0f} KB")
+        print(f"   Std Dev:         {mi_df['pss_kb'].std():>15,.0f} KB")
+        
+        # Calculate PSS change over time
+        if len(mi_df) > 1:
+            pss_change = mi_df['pss_kb'].iloc[-1] - mi_df['pss_kb'].iloc[0]
+            pss_change_pct = (pss_change / mi_df['pss_kb'].iloc[0]) * 100 if mi_df['pss_kb'].iloc[0] > 0 else 0
+            print(f"   PSS Change:      {pss_change:>15,.0f} KB ({pss_change_pct:+.2f}%)")
+    else:
+        print(f"\n📊 Meminsight: No data")
+    
+    # Comparison
+    if not pm_df.empty and not mi_df.empty:
+        pm_mean = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_kb'].sum().mean()
+        mi_mean = mi_df['pss_kb'].mean()
+        diff = abs(pm_mean - mi_mean)
+        diff_pct = (diff / max(pm_mean, mi_mean)) * 100 if max(pm_mean, mi_mean) > 0 else 0
+        
+        print(f"\n📈 Comparison:")
+        print(f"   Process Monitor Mean: {pm_mean:>15,.0f} KB")
+        print(f"   Meminsight Mean:      {mi_mean:>15,.0f} KB")
+        print(f"   Difference:           {diff:>15,.0f} KB ({diff_pct:.2f}%)")
+        
+        if pm_mean > mi_mean:
+            print(f"   Process Monitor captures {((pm_mean/mi_mean - 1) * 100):.2f}% more PSS on average")
+        else:
+            print(f"   Meminsight captures {((mi_mean/pm_mean - 1) * 100):.2f}% more PSS on average")
+    
+    print("\n" + "=" * 70)
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Analyze and compare PSS data from Process Monitor and Meminsight',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  # Basic usage with paths
+  python analyze_pss.py --js results.js --csv meminsight/
+  
+  # With full paths
+  python analyze_pss.py \\
+    --js /path/to/results.js \\
+    --csv /path/to/meminsight/
+  
+  # With custom output
+  python analyze_pss.py \\
+    --js results.js \\
+    --csv meminsight/ \\
+    --output my_plot.png
+        """
+    )
+    
+    parser.add_argument(
+        '--js',
+        type=str,
+        required=True,
+        help='Path to results.js file from Process Monitor'
+    )
+    
+    parser.add_argument(
+        '--csv',
+        type=str,
+        required=True,
+        help='Path to directory containing meminsight CSV files'
+    )
+    
+    parser.add_argument(
+        '--output', '-o',
+        type=str,
+        default=None,
+        help='Output path for the plot (default: pss_comparison.png)'
+    )
+    
+    args = parser.parse_args()
+    
+    # Validate paths
+    js_path = Path(args.js)
+    csv_dir = Path(args.csv)
+    
+    print("=" * 70)
+    print("PSS ANALYSIS: Process Monitor vs Meminsight")
+    print("=" * 70)
+    
+    # Check results.js
+    print("\n1. Validating results.js path...")
+    if not js_path.exists():
+        print(f"   ✗ Error: File not found: {js_path}")
+        sys.exit(1)
+    if not js_path.is_file():
+        print(f"   ✗ Error: Not a file: {js_path}")
+        sys.exit(1)
+    print(f"   ✓ Found: {js_path.absolute()}")
+    
+    # Check meminsight directory
+    print("\n2. Validating meminsight directory...")
+    if not csv_dir.exists():
+        print(f"   ✗ Error: Directory not found: {csv_dir}")
+        sys.exit(1)
+    if not csv_dir.is_dir():
+        print(f"   ✗ Error: Not a directory: {csv_dir}")
+        sys.exit(1)
+    print(f"   ✓ Found: {csv_dir.absolute()}")
+    
+    # Process results.js
+    print("\n3. Processing Process Monitor data...")
+    results = extract_results_from_js(js_path)
+    if results:
+        pm_df = process_results_js(results)
+        if not pm_df.empty:
+            print(f"   ✓ Extracted {len(pm_df)} process records with PSS data")
+            print(f"   Time range: {pm_df['timestamp'].min()} to {pm_df['timestamp'].max()}")
+            total_pss = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_kb'].sum().sum()
+            print(f"   Total PSS (aggregated): {total_pss:,.0f} KB")
+        else:
+            print("   ⚠ Warning: No PSS data found in results.js")
+    else:
+        print("   ✗ Error: Could not parse results.js")
+        pm_df = pd.DataFrame()
+    
+    # Process meminsight files
+    print("\n4. Processing Meminsight CSV files...")
+    mi_df = process_meminsight_files(csv_dir)
+    if not mi_df.empty:
+        print(f"   Time range: {mi_df['timestamp'].min()} to {mi_df['timestamp'].max()}")
+    
+    # Generate plot
+    print("\n5. Generating comparison plot...")
+    if not pm_df.empty or not mi_df.empty:
+        output_path = args.output if args.output else 'pss_comparison.png'
+        plot_pss_comparison(pm_df, mi_df, output_path)
+        print_statistics(pm_df, mi_df)
+    else:
+        print("   ✗ Error: No data available to plot")
+        sys.exit(1)
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file
diff --git a/scripts/analyze_pss_offset.py b/scripts/analyze_pss_offset.py
new file mode 100644
index 0000000..92896d7
--- /dev/null
+++ b/scripts/analyze_pss_offset.py
@@ -0,0 +1,431 @@
+import json
+import re
+import pandas as pd
+import matplotlib.pyplot as plt
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+import glob
+import sys
+import argparse
+
+def extract_results_from_js(js_file_path):
+    """Extract the results object from results.js"""
+    try:
+        with open(js_file_path, 'r') as f:
+            content = f.read()
+        
+        match = re.search(r'(?:let|const|var)\s+results\s*=\s*({.*?});', content, re.DOTALL)
+        if match:
+            return json.loads(match.group(1))
+        
+        match = re.search(r'(?:let|const|var)\s+results\s*=\s*({.*?})\s*$', content, re.DOTALL | re.MULTILINE)
+        if match:
+            return json.loads(match.group(1))
+            
+        return None
+    except Exception as e:
+        print(f"✗ Error parsing results.js: {e}")
+        return None
+
+def process_results_js(results):
+    """Extract PSS data from Process Monitor results"""
+    pss_data = []
+    
+    for process in results.get('processes', []):
+        if 'pss' in process and 'start' in process:
+            pss_data.append({
+                'timestamp': datetime.fromtimestamp(process['start'] / 1000, tz=timezone.utc),
+                'pss_mb': process['pss'] / 1024,  # Convert KB to MB
+                'pid': process['pid'],
+                'name': process.get('content', 'Unknown')
+            })
+    
+    return pd.DataFrame(pss_data)
+
+def parse_meminsight_filename(filename):
+    """Parse meminsight filename to extract timestamp"""
+    match = re.search(r'_(\d{14})_iter(\d+)_', filename)
+    if match:
+        timestamp_str = match.group(1)
+        iter_num = int(match.group(2))
+        timestamp = datetime.strptime(timestamp_str, '%Y%m%d%H%M%S').replace(tzinfo=timezone.utc)
+        return timestamp, iter_num
+    return None, None
+
+def parse_meminsight_csv(csv_file):
+    """Parse a single meminsight CSV file and extract PSS values"""
+    try:
+        with open(csv_file, 'r') as f:
+            lines = f.readlines()
+        
+        # Find the line that starts with "PID,EXE,RSS,PSS"
+        header_index = None
+        for i, line in enumerate(lines):
+            if line.strip().startswith('PID,EXE,RSS,PSS'):
+                header_index = i
+                break
+        
+        if header_index is None:
+            return None, None, "No process header found"
+        
+        # Parse process data
+        pss_values = []
+        for i in range(header_index + 1, len(lines)):
+            line = lines[i].strip()
+            if not line or line.startswith('#'):
+                continue
+            
+            parts = line.split(',')
+            if len(parts) < 4:
+                continue
+            
+            try:
+                pid = parts[0].strip()
+                pss = float(parts[3].strip())
+                
+                # Skip the Total line (PID = 0)
+                if pid == '0' or pid.lower() == 'total':
+                    continue
+                
+                pss_values.append(pss)
+            except (ValueError, IndexError):
+                continue
+        
+        if not pss_values:
+            return None, None, "No valid PSS data found"
+        
+        # Calculate total PSS and average PSS per process
+        total_pss = sum(pss_values)
+        average_pss = total_pss / len(pss_values) if pss_values else 0
+        return total_pss, average_pss, None
+        
+    except Exception as e:
+        return None, None, str(e)
+
+def process_meminsight_files(meminsight_dir, pm_start=None, pm_end=None, time_offset_hours=0, auto_detect=True):
+    """Process all meminsight CSV files with smart time alignment"""
+    csv_files = sorted(glob.glob(str(Path(meminsight_dir) / '*_meminsight.csv')))
+    
+    if not csv_files:
+        print(f"   ⚠ Warning: No CSV files found in {meminsight_dir}")
+        return pd.DataFrame()
+    
+    print(f"   Found {len(csv_files)} CSV files")
+    
+    all_data = []
+    skipped = []
+    
+    # First pass: collect all timestamps to detect grouping
+    file_info = []
+    for csv_file in csv_files:
+        filename = Path(csv_file).name
+        timestamp, iter_num = parse_meminsight_filename(filename)
+        if timestamp:
+            file_info.append((csv_file, filename, timestamp, iter_num))
+    
+    # Auto-detect timezone offset if enabled and PM range is available
+    if auto_detect and pm_start and pm_end and file_info:
+        print(f"\n   🔍 Auto-detecting time alignment...")
+        
+        # Group files by hour to detect different capture sessions
+        hour_groups = {}
+        for _, fname, ts, iter_num in file_info:
+            hour_key = ts.replace(minute=0, second=0, microsecond=0)
+            if hour_key not in hour_groups:
+                hour_groups[hour_key] = []
+            hour_groups[hour_key].append((fname, ts, iter_num))
+        
+        print(f"      Found {len(hour_groups)} time group(s):")
+        for hour_key, files in sorted(hour_groups.items()):
+            iter_range = f"iter {min(f[2] for f in files)}-{max(f[2] for f in files)}"
+            print(f"         {hour_key}: {len(files)} files ({iter_range})")
+    
+    # Process each file
+    for csv_file, filename, timestamp, iter_num in file_info:
+        original_timestamp = timestamp
+        
+        # Try with and without offset to see which fits better
+        best_timestamp = timestamp
+        best_offset = 0
+        
+        if auto_detect and pm_start and pm_end:
+            # Try different offsets
+            for offset in [0, 5, -5]:
+                test_ts = timestamp + timedelta(hours=offset)
+                if pm_start <= test_ts <= pm_end:
+                    best_timestamp = test_ts
+                    best_offset = offset
+                    break
+        else:
+            # Apply manual offset
+            if time_offset_hours != 0:
+                best_timestamp = timestamp + timedelta(hours=time_offset_hours)
+                best_offset = time_offset_hours
+        
+        # Check if within range
+        if pm_start and pm_end:
+            if best_timestamp < pm_start or best_timestamp > pm_end:
+                skipped.append((filename, original_timestamp, best_timestamp, best_offset, "Outside PM time range"))
+                continue
+        
+        total_pss, average_pss, error = parse_meminsight_csv(csv_file)
+        
+        if error:
+            skipped.append((filename, original_timestamp, best_timestamp, best_offset, error))
+            continue
+        
+        if total_pss is not None and average_pss is not None:
+            all_data.append({
+                'timestamp': best_timestamp,
+                'pss_mb': total_pss / 1024,  # Convert KB to MB
+                'average_pss_mb': average_pss / 1024,  # Convert KB to MB
+                'num_processes': int(total_pss / average_pss) if average_pss > 0 else 0,
+                'iter': iter_num,
+                'file': filename,
+                'offset_applied': best_offset
+            })
+    
+    if skipped:
+        print(f"\n   ⚠ Skipped {len(skipped)} file(s):")
+        for fname, orig_ts, adj_ts, offset, reason in skipped[:5]:
+            if offset != 0:
+                print(f"      - {fname}")
+                print(f"        Original: {orig_ts}, Adjusted (+{offset}h): {adj_ts}")
+                print(f"        Reason: {reason}")
+            else:
+                print(f"      - {fname} ({orig_ts}): {reason}")
+        if len(skipped) > 5:
+            print(f"      ... and {len(skipped) - 5} more")
+    
+    if all_data:
+        result_df = pd.DataFrame(all_data)
+        result_df = result_df.sort_values('timestamp')
+        print(f"\n   ✓ Successfully processed {len(result_df)} files")
+        print(f"   Iteration range: {result_df['iter'].min()} to {result_df['iter'].max()}")
+        
+        # Show which offsets were applied
+        offset_counts = result_df['offset_applied'].value_counts().sort_index()
+        print(f"\n   Offset adjustments applied:")
+        for offset, count in offset_counts.items():
+            print(f"      {offset:+d} hours: {count} files")
+        
+        print(f"\n   Sample data:")
+        for _, row in result_df.head(3).iterrows():
+            offset_str = f" (offset: {row['offset_applied']:+d}h)" if row['offset_applied'] != 0 else ""
+            print(f"      Iter {row['iter']:2d}: {row['timestamp']} - Total PSS: {row['pss_mb']:>10,.1f} MB ({row['num_processes']} procs){offset_str}")
+        if len(result_df) > 3:
+            print(f"      ...")
+            for _, row in result_df.tail(2).iterrows():
+                offset_str = f" (offset: {row['offset_applied']:+d}h)" if row['offset_applied'] != 0 else ""
+                print(f"      Iter {row['iter']:2d}: {row['timestamp']} - Total PSS: {row['pss_mb']:>10,.1f} MB ({row['num_processes']} procs){offset_str}")
+        
+        return result_df
+    else:
+        print("   ✗ Error: No data could be extracted from CSV files")
+        return pd.DataFrame()
+
+def plot_pss_comparison(process_monitor_df, meminsight_df, output_path=None):
+    """Plot PSS data from both sources"""
+    fig, ax = plt.subplots(figsize=(16, 8))
+    
+    has_pm_data = False
+    has_mi_data = False
+    
+    # Plot Process Monitor data (aggregated by second)
+    if not process_monitor_df.empty:
+        pm_grouped = process_monitor_df.groupby(
+            process_monitor_df['timestamp'].dt.floor('S')
+        )['pss_mb'].sum().reset_index()
+        
+        ax.plot(pm_grouped['timestamp'], pm_grouped['pss_mb'], 
+                color='red', linewidth=2, label='Process Monitor (Total PSS)', 
+                marker='o', markersize=4, alpha=0.8)
+        print(f"   ✓ Plotted {len(pm_grouped)} Process Monitor data points")
+        has_pm_data = True
+    
+    # Plot meminsight data
+    if not meminsight_df.empty:
+        ax.plot(meminsight_df['timestamp'], meminsight_df['pss_mb'], 
+                color='green', linewidth=2, label='Meminsight (Total PSS)', 
+                marker='s', markersize=5, alpha=0.8)
+        print(f"   ✓ Plotted {len(meminsight_df)} Meminsight data points")
+        has_mi_data = True
+    
+    if not has_pm_data and not has_mi_data:
+        print("   ✗ No data to plot")
+        plt.close(fig)
+        return
+    
+    ax.set_xlabel('Timestamp (UTC)', fontsize=12, fontweight='bold')
+    ax.set_ylabel('Total PSS (MB)', fontsize=12, fontweight='bold')
+    ax.set_title('PSS Comparison: Process Monitor vs Meminsight', 
+                 fontsize=14, fontweight='bold')
+    ax.legend(loc='best', fontsize=11)
+    ax.grid(True, alpha=0.3, linestyle='--')
+    
+    # Format y-axis with commas
+    ax.yaxis.set_major_formatter(plt.FuncFormatter(lambda x, p: f'{int(x):,}'))
+    
+    # Format x-axis to show time nicely
+    plt.xticks(rotation=45, ha='right')
+    fig.tight_layout()
+    
+    if output_path is None:
+        output_path = Path.cwd() / 'pss_comparison.png'
+    else:
+        output_path = Path(output_path)
+    
+    plt.savefig(output_path, dpi=300, bbox_inches='tight')
+    print(f"\n✓ Plot saved to: {output_path}")
+    
+    plt.show()
+
+def print_statistics(pm_df, mi_df):
+    """Print statistics summary"""
+    print("\n" + "=" * 70)
+    print("STATISTICS SUMMARY")
+    print("=" * 70)
+    
+    if not pm_df.empty:
+        pm_grouped = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_mb'].sum()
+        print(f"\n📊 Process Monitor:")
+        print(f"   Time Range:      {pm_df['timestamp'].min()} to {pm_df['timestamp'].max()}")
+        print(f"   Data points:     {len(pm_grouped)}")
+        print(f"   Min PSS:         {pm_grouped.min():>15,.1f} MB")
+        print(f"   Max PSS:         {pm_grouped.max():>15,.1f} MB")
+        print(f"   Mean PSS:        {pm_grouped.mean():>15,.1f} MB")
+        print(f"   Median PSS:      {pm_grouped.median():>15,.1f} MB")
+        print(f"   Std Dev:         {pm_grouped.std():>15,.1f} MB")
+    else:
+        print(f"\n📊 Process Monitor: No data")
+    
+    if not mi_df.empty:
+        print(f"\n📊 Meminsight:")
+        print(f"   Time Range:      {mi_df['timestamp'].min()} to {mi_df['timestamp'].max()}")
+        print(f"   Data points:     {len(mi_df)}")
+        print(f"   Iterations:      {mi_df['iter'].min()} to {mi_df['iter'].max()}")
+        print(f"   Avg # Processes: {mi_df['num_processes'].mean():.0f}")
+        print(f"   Min Total PSS:   {mi_df['pss_mb'].min():>15,.1f} MB")
+        print(f"   Max Total PSS:   {mi_df['pss_mb'].max():>15,.1f} MB")
+        print(f"   Mean Total PSS:  {mi_df['pss_mb'].mean():>15,.1f} MB")
+        print(f"   Median Total PSS:{mi_df['pss_mb'].median():>15,.1f} MB")
+        print(f"   Std Dev:         {mi_df['pss_mb'].std():>15,.1f} MB")
+        
+        if len(mi_df) > 1:
+            pss_change = mi_df['pss_mb'].iloc[-1] - mi_df['pss_mb'].iloc[0]
+            pss_change_pct = (pss_change / mi_df['pss_mb'].iloc[0]) * 100 if mi_df['pss_mb'].iloc[0] > 0 else 0
+            print(f"   Total PSS Change:{pss_change:>15,.1f} MB ({pss_change_pct:+.2f}%)")
+        
+        # Show average PSS per process
+        print(f"\n   Average PSS per Process (for reference):")
+        print(f"   Min Avg PSS:     {mi_df['average_pss_mb'].min():>15,.1f} MB")
+        print(f"   Max Avg PSS:     {mi_df['average_pss_mb'].max():>15,.1f} MB")
+        print(f"   Mean Avg PSS:    {mi_df['average_pss_mb'].mean():>15,.1f} MB")
+    else:
+        print(f"\n📊 Meminsight: No data")
+    
+    # Comparison
+    if not pm_df.empty and not mi_df.empty:
+        pm_mean = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_mb'].sum().mean()
+        mi_mean_total = mi_df['pss_mb'].mean()
+        mi_mean_avg = mi_df['average_pss_mb'].mean()
+        
+        print(f"\n📈 Comparison:")
+        print(f"   Process Monitor Mean (Total):      {pm_mean:>15,.1f} MB")
+        print(f"   Meminsight Mean (Total):           {mi_mean_total:>15,.1f} MB")
+        print(f"   Meminsight Mean (Avg per Process): {mi_mean_avg:>15,.1f} MB")
+        
+        diff = abs(pm_mean - mi_mean_total)
+        diff_pct = (diff / max(pm_mean, mi_mean_total)) * 100 if max(pm_mean, mi_mean_total) > 0 else 0
+        print(f"   Difference (Total PSS):            {diff:>15,.1f} MB ({diff_pct:.2f}%)")
+        
+        if pm_mean > mi_mean_total:
+            print(f"   Process Monitor captures {((pm_mean/mi_mean_total - 1) * 100):.2f}% more PSS on average")
+        else:
+            print(f"   Meminsight captures {((mi_mean_total/pm_mean - 1) * 100):.2f}% more PSS on average")
+    
+    print("\n" + "=" * 70)
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Analyze and compare PSS data from Process Monitor and Meminsight',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  # Auto-detect time alignment (recommended)
+  python analyze_pss_offset.py --js results.js --csv meminsight/
+  
+  # Disable auto-detection and use manual offset
+  python analyze_pss_offset.py --js results.js --csv meminsight/ --offset 5 --no-auto
+  
+  # With custom output
+  python analyze_pss_offset.py --js results.js --csv meminsight/ -o plot.png
+        """
+    )
+    
+    parser.add_argument('--js', type=str, required=True, help='Path to results.js file')
+    parser.add_argument('--csv', type=str, required=True, help='Path to meminsight CSV directory')
+    parser.add_argument('--output', '-o', type=str, default=None, help='Output plot path')
+    parser.add_argument('--offset', type=int, default=0, 
+                       help='Manual time offset in hours (use with --no-auto)')
+    parser.add_argument('--no-auto', action='store_true',
+                       help='Disable auto-detection of time alignment')
+    
+    args = parser.parse_args()
+    
+    js_path = Path(args.js)
+    csv_dir = Path(args.csv)
+    
+    print("=" * 70)
+    print("PSS ANALYSIS: Process Monitor vs Meminsight")
+    print("=" * 70)
+    
+    # Validate paths
+    print("\n1. Validating paths...")
+    if not js_path.exists() or not js_path.is_file():
+        print(f"   ✗ Error: results.js not found: {js_path}")
+        sys.exit(1)
+    print(f"   ✓ Found results.js: {js_path.absolute()}")
+    
+    if not csv_dir.exists() or not csv_dir.is_dir():
+        print(f"   ✗ Error: CSV directory not found: {csv_dir}")
+        sys.exit(1)
+    print(f"   ✓ Found CSV directory: {csv_dir.absolute()}")
+    
+    # Process results.js
+    print("\n2. Processing Process Monitor data...")
+    results = extract_results_from_js(js_path)
+    if results:
+        pm_df = process_results_js(results)
+        if not pm_df.empty:
+            pm_start = pm_df['timestamp'].min()
+            pm_end = pm_df['timestamp'].max()
+            print(f"   ✓ Extracted {len(pm_df)} process records")
+            print(f"   Time range: {pm_start} to {pm_end}")
+            total_pss = pm_df.groupby(pm_df['timestamp'].dt.floor('S'))['pss_mb'].sum().sum()
+            print(f"   Total PSS: {total_pss:,.1f} MB")
+        else:
+            print("   ⚠ Warning: No PSS data in results.js")
+            pm_start = pm_end = None
+    else:
+        print("   ✗ Error: Could not parse results.js")
+        pm_df = pd.DataFrame()
+        pm_start = pm_end = None
+    
+    # Process meminsight files
+    auto_mode = "disabled" if args.no_auto else "enabled"
+    print(f"\n3. Processing Meminsight CSV files (auto-align: {auto_mode})...")
+    mi_df = process_meminsight_files(csv_dir, pm_start, pm_end, args.offset, not args.no_auto)
+    
+    # Generate plot
+    print("\n4. Generating comparison plot...")
+    if not pm_df.empty or not mi_df.empty:
+        output_path = args.output if args.output else 'pss_comparison.png'
+        plot_pss_comparison(pm_df, mi_df, output_path)
+        print_statistics(pm_df, mi_df)
+    else:
+        print("   ✗ Error: No data available")
+        sys.exit(1)
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file
diff --git a/scripts/analyze_systemd_processes.py b/scripts/analyze_systemd_processes.py
new file mode 100644
index 0000000..ad0a3e8
--- /dev/null
+++ b/scripts/analyze_systemd_processes.py
@@ -0,0 +1,459 @@
+#!/usr/bin/env python3
+"""
+Analyze processes spawned by systemd services from results.js file.
+Lists scripts and binaries with their spawn counts, memory usage, and parent services.
+"""
+
+import json
+import re
+import argparse
+from collections import defaultdict
+from pathlib import Path
+
+
+def load_results_js(filepath):
+    """Load and parse the results.js file."""
+    with open(filepath, 'r') as f:
+        content = f.read()
+    
+    # Extract the JSON data from the JavaScript variable
+    # Format: let results = {...};
+    match = re.search(r'let\s+results\s*=\s*({.*});', content, re.DOTALL)
+    if not match:
+        raise ValueError("Could not find results variable in file")
+    
+    json_str = match.group(1)
+    return json.loads(json_str)
+
+
+def is_script(name):
+    """Check if a process name is a shell script."""
+    return name.endswith('.sh')
+
+
+def is_binary(name):
+    """Check if a process name is a binary (has full path but not .sh)."""
+    # Binary: starts with / and doesn't end with .sh
+    return name.startswith('/') and not name.endswith('.sh')
+
+
+def count_spawned_by_script_or_binary(script_name, processes):
+    """
+    Count all processes where the given script/binary appears in parent or grandparent.
+    This gives a more accurate count of what a script is responsible for spawning.
+    
+    Args:
+        script_name: The script or binary name to search for
+        processes: List of all process entries
+        
+    Returns:
+        tuple: (count, total_pss, total_rss, child_processes_list)
+    """
+    spawned = []
+    total_pss = 0
+    total_rss = 0
+    
+    for proc in processes:
+        parent = proc.get('parentCommandLine', '')
+        grandparent = proc.get('grandparentCommandLine', '')
+        
+        # Check if script appears in parent or grandparent command line
+        if script_name in parent or script_name in grandparent:
+            spawned.append(proc)
+            
+            # Add memory if available
+            pss, rss = get_memory_stats(proc)
+            total_pss += pss
+            total_rss += rss
+    
+    return len(spawned), total_pss, total_rss, spawned
+
+
+def get_memory_stats(process):
+    """Extract PSS and RSS memory values from a process entry.
+    
+    Args:
+        process: Process dictionary with optional 'pss' and 'rss' fields
+        
+    Returns:
+        tuple: (pss, rss) values in KB, both default to 0 if not present
+    """
+    pss = process.get('pss', 0)
+    rss = process.get('rss', 0)
+    return pss, rss
+
+
+def normalize_service_name(service):
+    """Normalize service name to N/A if empty or unknown.
+    
+    Args:
+        service: Service name string
+        
+    Returns:
+        str: Normalized service name, or 'N/A' if invalid
+    """
+    if not service or service in ('Unknown', 'None', ''):
+        return 'N/A'
+    return service
+
+
+def aggregate_process_metrics(processes_list):
+    """Aggregate memory metrics from a list of process entries.
+    
+    Args:
+        processes_list: List of process dictionaries
+        
+    Returns:
+        tuple: (total_pss, total_rss, process_count)
+    """
+    total_pss = 0
+    total_rss = 0
+    count = 0
+    
+    for proc in processes_list:
+        pss, rss = get_memory_stats(proc)
+        total_pss += pss
+        total_rss += rss
+        count += 1
+    
+    return total_pss, total_rss, count
+
+
+def analyze_scripts(results):
+    """Analyze shell scripts and their spawned processes.
+    
+    This function handles two types of scripts:
+    1. Process scripts: Short-lived individual executions found in processes array
+    2. Group scripts: Long-running parent processes found in groups array
+    
+    For Process scripts, we calculate average memory from all executions.
+    For spawned processes, we count any process where the script appears in parent or grandparent.
+    """
+    processes = results.get('processes', [])
+    groups = results.get('groups', [])
+    
+    script_data = defaultdict(lambda: {
+        'spawn_count': 0,
+        'total_pss': 0,
+        'total_rss': 0,
+        'pss_count': 0,  # Track number of instances with PSS for averaging
+        'rss_count': 0,  # Track number of instances with RSS for averaging
+        'process_count': 0,  # Track total number of process instances
+        'instance_count': 0,  # Frequency count - how many times this script ran
+        'services': set(),
+        'instances': [],
+        'types': set()
+    })
+    
+    # First pass: Collect all script names (both from processes and groups)
+    all_scripts = set()
+    
+    # === Collect Process Scripts (individual short-lived executions) ===
+    for proc in processes:
+        content = proc.get('content', '')
+        
+        if is_script(content):
+            all_scripts.add(content)
+            service = normalize_service_name(proc.get('systemdService', 'Unknown'))
+            
+            # Get memory stats for this process instance
+            pss, rss = get_memory_stats(proc)
+            
+            # Accumulate metrics
+            if pss > 0:
+                script_data[content]['total_pss'] += pss
+                script_data[content]['pss_count'] += 1
+            if rss > 0:
+                script_data[content]['total_rss'] += rss
+                script_data[content]['rss_count'] += 1
+            script_data[content]['process_count'] += 1
+            script_data[content]['instance_count'] += 1  # Count each instance
+            script_data[content]['services'].add(service)
+            script_data[content]['types'].add('Process')
+    
+    # === Collect Group Scripts ===
+    for group in groups:
+        group_name = group.get('content', '') or group.get('id', '')
+        if is_script(group_name):
+            all_scripts.add(group_name)
+            script_data[group_name]['types'].add('Group')
+    
+    # Second pass: For each script, count ALL processes spawned by it (parent or grandparent match)
+    for script_name in all_scripts:
+        spawn_count, spawn_pss, spawn_rss, spawned_procs = count_spawned_by_script_or_binary(
+            script_name, processes
+        )
+        
+        # Add spawn count and spawned process memory
+        script_data[script_name]['spawn_count'] = spawn_count
+        
+        # For Group scripts, add the spawned memory to totals
+        # For Process scripts, keep their own memory separate from spawned
+        if 'Group' in script_data[script_name]['types']:
+            # Group scripts show total of all spawned processes
+            script_data[script_name]['total_pss'] += spawn_pss
+            script_data[script_name]['total_rss'] += spawn_rss
+        
+        # Collect services from spawned processes
+        for proc in spawned_procs:
+            service = normalize_service_name(proc.get('systemdService', 'Unknown'))
+            script_data[script_name]['services'].add(service)
+    
+    return script_data
+
+
+def analyze_binaries(results):
+    """Analyze binaries and their spawned processes.
+    
+    This function handles two types of binaries:
+    1. Process binaries: Short-lived individual executions found in processes array
+    2. Group binaries: Long-running parent processes found in groups array
+    
+    For Process binaries, we calculate average memory from all executions.
+    For spawned processes, we count any process where the binary appears in parent or grandparent.
+    """
+    processes = results.get('processes', [])
+    groups = results.get('groups', [])
+    
+    binary_data = defaultdict(lambda: {
+        'spawn_count': 0,
+        'total_pss': 0,
+        'total_rss': 0,
+        'pss_count': 0,  # Track number of instances with PSS for averaging
+        'rss_count': 0,  # Track number of instances with RSS for averaging
+        'process_count': 0,  # Track total number of process instances
+        'instance_count': 0,  # Frequency count - how many times this binary ran
+        'services': set(),
+        'instances': [],
+        'types': set()
+    })
+    
+    # First pass: Collect all binary names (both from processes and groups)
+    all_binaries = set()
+    
+    # === Collect Process Binaries (individual short-lived executions) ===
+    for proc in processes:
+        content = proc.get('content', '')
+        
+        if is_binary(content):
+            all_binaries.add(content)
+            service = normalize_service_name(proc.get('systemdService', 'Unknown'))
+            
+            # Get memory stats for this process instance
+            pss, rss = get_memory_stats(proc)
+            
+            # Accumulate metrics
+            if pss > 0:
+                binary_data[content]['total_pss'] += pss
+                binary_data[content]['pss_count'] += 1
+            if rss > 0:
+                binary_data[content]['total_rss'] += rss
+                binary_data[content]['rss_count'] += 1
+            binary_data[content]['process_count'] += 1
+            binary_data[content]['instance_count'] += 1  # Count each instance
+            binary_data[content]['services'].add(service)
+            binary_data[content]['types'].add('Process')
+    
+    # === Collect Group Binaries ===
+    for group in groups:
+        group_name = group.get('content', '') or group.get('id', '')
+        if is_binary(group_name):
+            all_binaries.add(group_name)
+            binary_data[group_name]['types'].add('Group')
+    
+    # Second pass: For each binary, count ALL processes spawned by it (parent or grandparent match)
+    for binary_name in all_binaries:
+        spawn_count, spawn_pss, spawn_rss, spawned_procs = count_spawned_by_script_or_binary(
+            binary_name, processes
+        )
+        
+        # Add spawn count and spawned process memory
+        binary_data[binary_name]['spawn_count'] = spawn_count
+        
+        # For Group binaries, add the spawned memory to totals
+        # For Process binaries, keep their own memory separate from spawned
+        if 'Group' in binary_data[binary_name]['types']:
+            # Group binaries show total of all spawned processes
+            binary_data[binary_name]['total_pss'] += spawn_pss
+            binary_data[binary_name]['total_rss'] += spawn_rss
+        
+        # Collect services from spawned processes
+        for proc in spawned_procs:
+            service = normalize_service_name(proc.get('systemdService', 'Unknown'))
+            binary_data[binary_name]['services'].add(service)
+    
+    return binary_data
+
+
+def format_memory_value(info, mem_type='pss'):
+    """Format memory values for display.
+    
+    For Process types: Calculate and show average per execution
+    For Group types: Show total aggregated memory
+    
+    Args:
+        info: Dictionary with memory data
+        mem_type: 'pss' or 'rss'
+        
+    Returns:
+        str: Formatted memory string with appropriate label
+    """
+    types = info.get('types', set())
+    total_mem = info.get(f'total_{mem_type}', 0)
+    mem_count_key = f'{mem_type}_count'
+    mem_count = info.get(mem_count_key, info.get('process_count', 0))
+    
+    if total_mem == 0:
+        return "N/A"
+    
+    # For Group scripts, show total
+    if 'Group' in types and 'Process' not in types:
+        return f"{total_mem:,}"
+    
+    # For Process scripts, show average (only divide by instances that had this memory type)
+    if 'Process' in types and mem_count > 0:
+        avg_mem = total_mem / mem_count
+        return f"{avg_mem:,.0f} (avg)"
+    
+    # Mixed or unknown
+    if 'Group' in types and 'Process' in types:
+        # Group takes precedence for mixed types
+        return f"{total_mem:,}"
+    
+    return f"{total_mem:,}"
+
+
+def print_table(data, title):
+    """Print formatted table with memory statistics.
+    
+    Displays PSS/RSS values differently based on type:
+    - Group: Total aggregated memory from all child processes
+    - Process: Average memory per execution
+    """
+    if not data:
+        print(f"\nNo {title} found.\n")
+        return
+    
+    print(f"\n{'='*170}")
+    print(f"{title}")
+    print(f"{'='*170}")
+    
+    # Sort by spawn count (descending)
+    sorted_items = sorted(data.items(), key=lambda x: x[1]['spawn_count'], reverse=True)
+    
+    # Print header
+    header = f"{'Script/Binary Name':<50} | {'Type':<15} | {'Instances':<10} | {'Spawned':<10} | {'PSS (KB)':<15} | {'RSS (KB)':<15} | {'Systemd Service':<30}"
+    print(header)
+    print('-' * 170)
+    
+    # Print rows
+    for name, info in sorted_items:
+        spawn_count = info['spawn_count']
+        instance_count = info.get('instance_count', 0)
+        services = ', '.join(sorted(info['services']))
+        types = ', '.join(sorted(info.get('types', {'Unknown'})))
+        
+        # Handle long names
+        display_name = name if len(name) <= 50 else name[:47] + '...'
+        
+        # Format PSS/RSS with appropriate values (avg for Process, total for Group)
+        pss_str = format_memory_value(info, 'pss')
+        rss_str = format_memory_value(info, 'rss')
+        
+        # Handle long service names
+        if len(services) > 30:
+            services = services[:27] + '...'
+        
+        print(f"{display_name:<50} | {types:<15} | {instance_count:<10} | {spawn_count:<10} | {pss_str:<15} | {rss_str:<15} | {services:<30}")
+    
+    print(f"{'='*170}\n")
+    print(f"Total entries: {len(sorted_items)}")
+    print()
+
+
+def print_markdown_table(data, title):
+    """Print table in Markdown format with memory statistics.
+    
+    Displays PSS/RSS values differently based on type:
+    - Group: Total aggregated memory from all child processes
+    - Process: Average memory per execution (marked with 'avg')
+    """
+    if not data:
+        print(f"\n## {title}\n\nNo data found.\n")
+        return
+    
+    print(f"\n## {title}\n")
+    
+    # Sort by spawn count (descending)
+    sorted_items = sorted(data.items(), key=lambda x: x[1]['spawn_count'], reverse=True)
+    
+    # Print header
+    print(f"| {'Script/Binary Name':<45} | {'Type':<15} | {'Instances':<10} | {'Spawned':<16} | {'PSS (KB)':<15} | {'RSS (KB)':<15} | {'Systemd Service':<28} |")
+    print(f"|{'-'*47}|{'-'*17}|{'-'*12}|{'-'*18}|{'-'*17}|{'-'*17}|{'-'*30}|")
+    
+    # Print rows
+    for name, info in sorted_items:
+        spawn_count = info['spawn_count']
+        instance_count = info.get('instance_count', 0)
+        services = ', '.join(sorted(info['services']))
+        types = ', '.join(sorted(info.get('types', {'Unknown'})))
+        
+        # Format PSS/RSS with appropriate values (avg for Process, total for Group)
+        pss_str = format_memory_value(info, 'pss')
+        rss_str = format_memory_value(info, 'rss')
+        
+        print(f"| {name:<45} | {types:<15} | {instance_count:<10} | {spawn_count:<16} | {pss_str:<15} | {rss_str:<15} | {services:<28} |")
+    
+    print(f"\n**Total entries:** {len(sorted_items)}\n")
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Analyze processes spawned by systemd services',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  %(prog)s --scripts 2hr-results.js
+  %(prog)s --binaries 2hr-results.js
+  %(prog)s --all 2hr-results.js
+  %(prog)s --scripts --markdown 2hr-results.js
+        """
+    )
+    
+    parser.add_argument('file', help='Path to results.js file')
+    parser.add_argument('--scripts', action='store_true', help='Show script analysis')
+    parser.add_argument('--binaries', action='store_true', help='Show binary analysis')
+    parser.add_argument('--all', action='store_true', help='Show both scripts and binaries')
+    parser.add_argument('--markdown', action='store_true', help='Output in Markdown format')
+    
+    args = parser.parse_args()
+    
+    # Default to --all if nothing specified
+    if not (args.scripts or args.binaries or args.all):
+        args.all = True
+    
+    # Load data
+    try:
+        results = load_results_js(args.file)
+    except Exception as e:
+        print(f"Error loading file: {e}")
+        return 1
+    
+    print_func = print_markdown_table if args.markdown else print_table
+    
+    # Analyze and print scripts
+    if args.scripts or args.all:
+        script_data = analyze_scripts(results)
+        print_func(script_data, "Shell Scripts Analysis")
+    
+    # Analyze and print binaries
+    if args.binaries or args.all:
+        binary_data = analyze_binaries(results)
+        print_func(binary_data, "Binaries Analysis")
+    
+    return 0
+
+
+if __name__ == '__main__':
+    exit(main())
+
diff --git a/scripts/detailed_results_parser.py b/scripts/detailed_results_parser.py
new file mode 100644
index 0000000..3641524
--- /dev/null
+++ b/scripts/detailed_results_parser.py
@@ -0,0 +1,383 @@
+#!/usr/bin/env python3
+import json
+import argparse
+import os.path as path
+import csv
+from datetime import datetime
+from collections import defaultdict
+
+
+def parse_results_file(filename):
+    """Parse the results.js file and return JSON data."""
+    with open(filename) as results_file:
+        results = results_file.read()
+        results = results.replace('let results = ', '')
+        results = results.replace(';', '')
+        return json.loads(results)
+
+
+def jiffies_to_ms(jiffies, clock_ticks_per_sec=100):
+    """Convert jiffies to milliseconds."""
+    return round((jiffies * 1000) / clock_ticks_per_sec)
+
+
+def format_timestamp(timestamp_ms):
+    """Convert milliseconds timestamp to human-readable format."""
+    return datetime.fromtimestamp(timestamp_ms / 1000).strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
+
+
+def calculate_frequencies(results_json):
+    """Calculate frequency statistics for processes."""
+    total_duration_ms = results_json['end'] - results_json['start']
+    total_process_count = len(results_json['processes'])
+    
+    # Group processes by name
+    process_groups = defaultdict(list)
+    for proc in results_json['processes']:
+        process_name = proc['content']
+        process_groups[process_name].append(proc)
+    
+    # Calculate statistics for each process instance
+    process_stats = []
+    
+    for proc in results_json['processes']:
+        process_name = proc['content']
+        duration_ms = proc.get('end', proc['start']) - proc['start']
+        
+        # Count-based frequency (this instance as part of all processes)
+        count_freq_all = (1 / total_process_count) * 100 if total_process_count > 0 else 0
+        
+        # Count-based frequency (how many times this process name appears)
+        same_name_count = len(process_groups[process_name])
+        count_freq_name = (same_name_count / total_process_count) * 100 if total_process_count > 0 else 0
+        
+        # Time-based frequency (this instance duration vs total capture time)
+        time_freq_instance = (duration_ms / total_duration_ms) * 100 if total_duration_ms > 0 else 0
+        
+        # Time-based frequency (all instances of this process name vs total capture time)
+        total_name_duration = sum(p.get('end', p['start']) - p['start'] for p in process_groups[process_name])
+        time_freq_name = (total_name_duration / total_duration_ms) * 100 if total_duration_ms > 0 else 0
+        
+        stats = {
+            'process': proc,
+            'duration_ms': duration_ms,
+            'count_freq_all': count_freq_all,
+            'count_freq_name': count_freq_name,
+            'time_freq_instance': time_freq_instance,
+            'time_freq_name': time_freq_name,
+            'same_name_count': same_name_count,
+            'same_name_total_duration': total_name_duration
+        }
+        process_stats.append(stats)
+    
+    return process_stats, total_duration_ms, total_process_count
+
+
+def print_process_details(stats_list, sort_by='start_time'):
+    """Print detailed process information to console."""
+    # Sort based on criteria
+    if sort_by == 'start_time':
+        stats_list = sorted(stats_list, key=lambda x: x['process']['start'])
+    elif sort_by == 'duration':
+        stats_list = sorted(stats_list, key=lambda x: x['duration_ms'], reverse=True)
+    elif sort_by == 'name':
+        stats_list = sorted(stats_list, key=lambda x: x['process']['content'])
+    elif sort_by == 'pss':
+        stats_list = sorted(stats_list, key=lambda x: x['process'].get('pss', 0), reverse=True)
+    elif sort_by == 'rss':
+        stats_list = sorted(stats_list, key=lambda x: x['process'].get('rss', 0), reverse=True)
+    
+    print("\n" + "="*100)
+    print("DETAILED PROCESS LISTING")
+    print("="*100)
+    
+    for idx, stats in enumerate(stats_list, 1):
+        proc = stats['process']
+        
+        print(f"\n[{idx}/{len(stats_list)}] Process Instance")
+        print("-" * 100)
+        
+        print(f"PID: {proc.get('pid', 'N/A')}")
+        print(f"Name: {proc.get('content', 'N/A')}")
+        print(f"Command Line: {proc.get('fullCommandLine', 'N/A')}")
+        print(f"Parent Command Line: {proc.get('parentCommandLine', 'N/A')}")
+        print(f"Grandparent Command Line: {proc.get('grandparentCommandLine', 'N/A')}")
+        
+        # Time information
+        start_time = format_timestamp(proc['start'])
+        end_time = format_timestamp(proc.get('end', proc['start']))
+        print(f"Start Time: {start_time} ({proc['start']} ms)")
+        print(f"End Time: {end_time} ({proc.get('end', proc['start'])} ms)")
+        print(f"Duration: {stats['duration_ms']} ms")
+        
+        print(f"Exit Code: {proc.get('exitCode', 'N/A')}")
+        print(f"Systemd Service: {proc.get('systemdService', 'N/A')}")
+        
+        # Memory information
+        pss = proc.get('pss', None)
+        swap_pss = proc.get('swapPss', None)
+        rss = proc.get('rss', None)
+        
+        print(f"PSS (KB): {pss if pss is not None else 'N/A'}")
+        print(f"SwapPSS (KB): {swap_pss if swap_pss is not None else 'N/A'}")
+        print(f"RSS (KB): {rss if rss is not None else 'N/A'}")
+        
+        # CPU time
+        if 'utime' in proc and 'stime' in proc:
+            utime_ms = jiffies_to_ms(proc['utime'])
+            stime_ms = jiffies_to_ms(proc['stime'])
+            total_cpu_ms = utime_ms + stime_ms
+            print(f"CPU Time (ms): {total_cpu_ms} ms (stime: {stime_ms} ms, utime: {utime_ms} ms)")
+        else:
+            print(f"CPU Time (ms): N/A")
+        
+        # Frequency information
+        print(f"\nFrequency Statistics:")
+        print(f"  Time-based (this instance): {stats['time_freq_instance']:.4f}%")
+        print(f"  Time-based (all '{proc['content']}' instances): {stats['time_freq_name']:.4f}% (cumulative duration: {stats['same_name_total_duration']} ms)")
+        print(f"  Count-based (occurrences of '{proc['content']}'): {stats['same_name_count']} times ({stats['count_freq_name']:.4f}% of all processes)")
+        print(f"  Count-based (this instance): {stats['count_freq_all']:.4f}% (1 out of all processes)")
+
+
+def print_summary_statistics(stats_list, total_duration_ms, total_process_count):
+    """Print summary statistics grouped by process name."""
+    # Group by process name
+    summary = defaultdict(lambda: {
+        'count': 0,
+        'total_duration_ms': 0,
+        'pss_values': [],
+        'rss_values': [],
+        'swap_pss_values': [],
+        'cpu_time_values': [],
+        'pids': [],
+        'command_lines': set(),
+        'parents': set(),
+        'services': set()
+    })
+    
+    for stats in stats_list:
+        proc = stats['process']
+        name = proc['content']
+        
+        summary[name]['count'] += 1
+        summary[name]['total_duration_ms'] += stats['duration_ms']
+        summary[name]['pids'].append(proc.get('pid', 'N/A'))
+        
+        if 'fullCommandLine' in proc:
+            summary[name]['command_lines'].add(proc['fullCommandLine'])
+        if 'parentCommandLine' in proc:
+            summary[name]['parents'].add(proc['parentCommandLine'])
+        if 'systemdService' in proc:
+            summary[name]['services'].add(proc['systemdService'])
+        
+        if 'pss' in proc:
+            summary[name]['pss_values'].append(proc['pss'])
+        if 'rss' in proc:
+            summary[name]['rss_values'].append(proc['rss'])
+        if 'swapPss' in proc:
+            summary[name]['swap_pss_values'].append(proc['swapPss'])
+        
+        if 'utime' in proc and 'stime' in proc:
+            cpu_ms = jiffies_to_ms(proc['utime'] + proc['stime'])
+            summary[name]['cpu_time_values'].append(cpu_ms)
+    
+    # Sort by count (most frequent first)
+    sorted_summary = sorted(summary.items(), key=lambda x: x[1]['count'], reverse=True)
+    
+    print("\n" + "="*100)
+    print("SUMMARY STATISTICS (Grouped by Process Name)")
+    print("="*100)
+    
+    for name, data in sorted_summary:
+        print(f"\n{'='*100}")
+        print(f"Process Name: {name}")
+        print(f"{'='*100}")
+        
+        # Occurrence statistics
+        print(f"\nOccurrence Statistics:")
+        print(f"  Total Occurrences: {data['count']}")
+        print(f"  Frequency (count-based): {(data['count'] / total_process_count * 100):.4f}% of all processes")
+        print(f"  Frequency (time-based): {(data['total_duration_ms'] / total_duration_ms * 100):.4f}% of capture time")
+        print(f"  Cumulative Duration: {data['total_duration_ms']} ms")
+        print(f"  Average Duration per Instance: {data['total_duration_ms'] / data['count']:.2f} ms")
+        
+        # PIDs
+        print(f"\nPIDs: {', '.join(map(str, data['pids']))}")
+        
+        # Command lines
+        if data['command_lines']:
+            print(f"\nCommand Line(s):")
+            for cmd in data['command_lines']:
+                print(f"  - {cmd}")
+        
+        # Parent processes
+        if data['parents']:
+            print(f"\nParent Process(es):")
+            for parent in data['parents']:
+                print(f"  - {parent}")
+        
+        # Services
+        if data['services']:
+            print(f"\nSystemd Service(s): {', '.join(data['services'])}")
+        
+        # Memory statistics
+        if data['pss_values']:
+            avg_pss = sum(data['pss_values']) / len(data['pss_values'])
+            min_pss = min(data['pss_values'])
+            max_pss = max(data['pss_values'])
+            print(f"\nPSS (KB) - Avg: {avg_pss:.2f}, Min: {min_pss}, Max: {max_pss}")
+        
+        if data['rss_values']:
+            avg_rss = sum(data['rss_values']) / len(data['rss_values'])
+            min_rss = min(data['rss_values'])
+            max_rss = max(data['rss_values'])
+            print(f"RSS (KB) - Avg: {avg_rss:.2f}, Min: {min_rss}, Max: {max_rss}")
+        
+        if data['swap_pss_values']:
+            avg_swap = sum(data['swap_pss_values']) / len(data['swap_pss_values'])
+            min_swap = min(data['swap_pss_values'])
+            max_swap = max(data['swap_pss_values'])
+            print(f"SwapPSS (KB) - Avg: {avg_swap:.2f}, Min: {min_swap}, Max: {max_swap}")
+        
+        if data['cpu_time_values']:
+            avg_cpu = sum(data['cpu_time_values']) / len(data['cpu_time_values'])
+            total_cpu = sum(data['cpu_time_values'])
+            min_cpu = min(data['cpu_time_values'])
+            max_cpu = max(data['cpu_time_values'])
+            print(f"CPU Time (ms) - Total: {total_cpu}, Avg: {avg_cpu:.2f}, Min: {min_cpu}, Max: {max_cpu}")
+
+
+def export_to_csv(stats_list, output_filename):
+    """Export detailed process information to CSV."""
+    fieldnames = [
+        'PID', 'Name', 'Command_Line', 'Parent_Command_Line', 'Grandparent_Command_Line',
+        'Start_Time_Readable', 'Start_Time_Ms', 'End_Time_Readable', 'End_Time_Ms',
+        'Duration_Ms', 'Exit_Code', 'Systemd_Service',
+        'PSS_KB', 'SwapPSS_KB', 'RSS_KB', 'CPU_Time_Ms', 'CPU_Stime_Ms', 'CPU_Utime_Ms',
+        'Freq_Time_Instance_Pct', 'Freq_Time_AllInstances_Pct', 'Freq_Count_SameName',
+        'Freq_Count_Pct', 'Same_Name_Total_Duration_Ms'
+    ]
+    
+    with open(output_filename, 'w', newline='', encoding='utf-8') as csvfile:
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+        writer.writeheader()
+        
+        for stats in stats_list:
+            proc = stats['process']
+            
+            # CPU time calculation
+            cpu_time_ms = 'N/A'
+            cpu_stime_ms = 'N/A'
+            cpu_utime_ms = 'N/A'
+            if 'utime' in proc and 'stime' in proc:
+                cpu_utime_ms = jiffies_to_ms(proc['utime'])
+                cpu_stime_ms = jiffies_to_ms(proc['stime'])
+                cpu_time_ms = cpu_utime_ms + cpu_stime_ms
+            
+            row = {
+                'PID': proc.get('pid', 'N/A'),
+                'Name': proc.get('content', 'N/A'),
+                'Command_Line': proc.get('fullCommandLine', 'N/A'),
+                'Parent_Command_Line': proc.get('parentCommandLine', 'N/A'),
+                'Grandparent_Command_Line': proc.get('grandparentCommandLine', 'N/A'),
+                'Start_Time_Readable': format_timestamp(proc['start']),
+                'Start_Time_Ms': proc['start'],
+                'End_Time_Readable': format_timestamp(proc.get('end', proc['start'])),
+                'End_Time_Ms': proc.get('end', proc['start']),
+                'Duration_Ms': stats['duration_ms'],
+                'Exit_Code': proc.get('exitCode', 'N/A'),
+                'Systemd_Service': proc.get('systemdService', 'N/A'),
+                'PSS_KB': proc.get('pss', 'N/A'),
+                'SwapPSS_KB': proc.get('swapPss', 'N/A'),
+                'RSS_KB': proc.get('rss', 'N/A'),
+                'CPU_Time_Ms': cpu_time_ms,
+                'CPU_Stime_Ms': cpu_stime_ms,
+                'CPU_Utime_Ms': cpu_utime_ms,
+                'Freq_Time_Instance_Pct': f"{stats['time_freq_instance']:.4f}",
+                'Freq_Time_AllInstances_Pct': f"{stats['time_freq_name']:.4f}",
+                'Freq_Count_SameName': stats['same_name_count'],
+                'Freq_Count_Pct': f"{stats['count_freq_name']:.4f}",
+                'Same_Name_Total_Duration_Ms': stats['same_name_total_duration']
+            }
+            writer.writerow(row)
+    
+    print(f"\n✓ CSV exported to: {output_filename}")
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        prog='Detailed ProcessMonitor results parser',
+        description='Detailed parser for ProcessMonitor results with frequency and memory statistics',
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  %(prog)s results.js                              # Console output sorted by start time
+  %(prog)s results.js --csv output.csv             # Export to CSV
+  %(prog)s results.js --summary                    # Show summary statistics
+  %(prog)s results.js --sort-by duration           # Sort by duration
+  %(prog)s results.js --sort-by pss --csv out.csv  # Sort by PSS and export
+        """
+    )
+    
+    parser.add_argument('filename', help="Path to the results.js file generated by ProcessMonitor")
+    parser.add_argument('--csv', metavar='OUTPUT', help="Export detailed results to CSV file")
+    parser.add_argument('--summary', action='store_true', help="Show summary statistics grouped by process name")
+    parser.add_argument('--sort-by', choices=['start_time', 'duration', 'name', 'pss', 'rss'],
+                        default='start_time', help="Sort output by field (default: start_time)")
+    parser.add_argument('--no-details', action='store_true', 
+                        help="Skip detailed process listing (useful with --summary or --csv only)")
+    
+    args = parser.parse_args()
+    
+    if not path.isfile(args.filename):
+        print(f"Error: Cannot find file {args.filename}")
+        return 1
+    
+    # Parse results
+    results_json = parse_results_file(args.filename)
+    stats_list, total_duration_ms, total_process_count = calculate_frequencies(results_json)
+    
+    # Print header information
+    print("\n" + "="*100)
+    print("PROCESS MONITOR RESULTS ANALYSIS")
+    print("="*100)
+    print(f"Capture Start: {format_timestamp(results_json['start'])} ({results_json['start']} ms)")
+    print(f"Capture End: {format_timestamp(results_json['end'])} ({results_json['end']} ms)")
+    print(f"Total Capture Duration: {total_duration_ms} ms ({total_duration_ms / 1000:.2f} seconds)")
+    print(f"Total Process Instances: {total_process_count}")
+    print(f"Unique Process Names: {len(set(p['content'] for p in results_json['processes']))}")
+    
+    # Sort stats for display
+    if args.sort_by == 'start_time':
+        stats_list = sorted(stats_list, key=lambda x: x['process']['start'])
+    elif args.sort_by == 'duration':
+        stats_list = sorted(stats_list, key=lambda x: x['duration_ms'], reverse=True)
+    elif args.sort_by == 'name':
+        stats_list = sorted(stats_list, key=lambda x: x['process']['content'])
+    elif args.sort_by == 'pss':
+        stats_list = sorted(stats_list, key=lambda x: x['process'].get('pss', 0), reverse=True)
+    elif args.sort_by == 'rss':
+        stats_list = sorted(stats_list, key=lambda x: x['process'].get('rss', 0), reverse=True)
+    
+    # Print detailed listing unless --no-details is specified
+    if not args.no_details:
+        print_process_details(stats_list, args.sort_by)
+    
+    # Print summary if requested
+    if args.summary:
+        print_summary_statistics(stats_list, total_duration_ms, total_process_count)
+    
+    # Export to CSV if requested
+    if args.csv:
+        export_to_csv(stats_list, args.csv)
+    
+    print("\n" + "="*100)
+    print("Analysis complete!")
+    print("="*100 + "\n")
+    
+    return 0
+
+
+if __name__ == "__main__":
+    exit(main())
+
diff --git a/scripts/results_parser.py b/scripts/results_parser.py
new file mode 100644
index 0000000..7ad34c7
--- /dev/null
+++ b/scripts/results_parser.py
@@ -0,0 +1,130 @@
+import json
+import argparse
+import os.path as path
+
+
+def parse(filename):
+    with open(filename) as results_file:
+        results = results_file.read()
+        results = results.replace('let results = ', '')
+        results = results.replace(';', '')
+
+        results_json = json.loads(results)
+
+        stats = results_json['stats']
+
+        print("")
+        print("Processes per group")
+        print("-----------------------")
+
+        groups = []
+
+        for group in results_json['groups']:
+            processes_in_group = results_json['processes']
+            tmp = [x for x in processes_in_group if x['group'] == group['id']]
+
+            unique_child_procs = {}
+            for proc in tmp:
+                name = proc['content']
+
+                if unique_child_procs.get(name):
+                    unique_child_procs[name] += 1
+                else:
+                    unique_child_procs[name] = 1
+
+            g = {}
+            g['name'] = group['content']
+            g['frequency'] = len(tmp)
+            g['unique_children'] = dict(sorted(unique_child_procs.items(), key=lambda item: item[1], reverse=True))
+
+            groups.append(g)
+
+        for group in sorted(groups, key=lambda k: k['frequency'], reverse=True):
+            print(f"{group['name']}: {group['frequency']}")
+            for child in group['unique_children']:
+                print(f"\t|- {child}: {group['unique_children'][child]} ({round(group['unique_children'][child] / group['frequency'] * 100, 2)}%)")
+
+
+        print("Top systemd services")
+        print("-----------------------")
+        for service in sorted(stats['services'], key=lambda k: k['frequency'], reverse=True):
+            print(f"{service['serviceName']}: {service['frequency']}")
+
+        print("")
+        print("Top unique processes")
+        print("-----------------------")
+        for process in sorted(stats['processes'], key=lambda k: k['frequency'], reverse=True):
+            print(f"{process['process']}: {process['frequency']}")
+        
+        # Check if any process has memory/CPU data
+        processes_with_mem_data = [p for p in results_json['processes'] 
+                                   if 'pss' in p or 'rss' in p or 'utime' in p or 'stime' in p]
+
+        if processes_with_mem_data:
+            print("")
+            print("Process Memory & CPU Statistics")
+            print("-----------------------")
+            
+            # Group by process name
+            process_mem_stats = {}
+            for proc in processes_with_mem_data:
+                proc_name = proc.get('content', 'Unknown')
+                if proc_name not in process_mem_stats:
+                    process_mem_stats[proc_name] = []
+                
+                # Convert jiffies to milliseconds (assuming 100 Hz clock, 1 jiffy = 10 ms)
+                # Most Linux systems use 100 Hz, but can be 1000 Hz on some systems
+                # Using 100 Hz as default: 1 jiffy = 10 ms
+                CLOCK_TICKS_PER_SEC = 100
+                utime_ms = (proc.get('utime', 0) * 1000) // CLOCK_TICKS_PER_SEC if 'utime' in proc else None
+                stime_ms = (proc.get('stime', 0) * 1000) // CLOCK_TICKS_PER_SEC if 'stime' in proc else None
+                
+                stat_entry = {
+                    'pid': proc.get('pid', 'N/A'),
+                    'pss': proc.get('pss'),
+                    'swapPss': proc.get('swapPss'),
+                    'rss': proc.get('rss'),
+                    'utime_ms': utime_ms,
+                    'stime_ms': stime_ms
+                }
+                process_mem_stats[proc_name].append(stat_entry)
+            
+            # Sort by process name, then by PID
+            for proc_name in sorted(process_mem_stats.keys()):
+                entries = sorted(process_mem_stats[proc_name], key=lambda x: x['pid'])
+                print(f"Process Name: {proc_name}")
+                
+                for entry in entries:
+                    stats_parts = []
+                    stats_parts.append(f"PID: {entry['pid']}")
+                    
+                    if entry['pss'] is not None:
+                        stats_parts.append(f"PSS: {entry['pss']} KB")
+                    if entry['swapPss'] is not None:
+                        stats_parts.append(f"SwapPSS: {entry['swapPss']} KB")
+                    if entry['rss'] is not None:
+                        stats_parts.append(f"RSS: {entry['rss']} KB")
+                    if entry['utime_ms'] is not None:
+                        stats_parts.append(f"User CPU: {entry['utime_ms']} ms")
+                    if entry['stime_ms'] is not None:
+                        stats_parts.append(f"System CPU: {entry['stime_ms']} ms")
+                    
+                    print(f"  - {' | '.join(stats_parts)}")
+                print("")
+
+
+def main():
+    parser = argparse.ArgumentParser(prog='ProcessMonitor results parser',
+                                     description='Tool to quickly parse the results from ProcessMonitor without needing to load the timeline')
+    parser.add_argument('filename', help="Path to the results file generated by ProcessMonitor")
+    args = parser.parse_args()
+
+    if not path.isfile(args.filename):
+        print(f"Cannot find file {args.filename}")
+        return
+
+    parse(args.filename)
+
+
+if __name__ == "__main__":
+    main()