diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index d6eedb1..374337a 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -40,7 +40,7 @@ jobs:
         run: uv sync --group docs
 
       - name: Build documentation
-        run: uv run mkdocs build --strict
+        run: uv run zensical build --strict
 
       - name: Setup Pages
         uses: actions/configure-pages@v4
diff --git a/docs/concepts/materializers.md b/docs/concepts/materializers.md
index 8fc27ee..25c3230 100644
--- a/docs/concepts/materializers.md
+++ b/docs/concepts/materializers.md
@@ -4,13 +4,15 @@ Materializers format and output calculated metrics. They transform raw metric da
 
 ## Available Materializers
 
-CheckUp includes three built-in materializers:
+CheckUp includes five built-in materializers:
 
 | Materializer | Output | Use Case |
 |-------------|--------|----------|
 | `ConsoleMaterializer` | Terminal tables | Interactive viewing |
 | `CSVMaterializer` | CSV file | Data analysis, spreadsheets |
 | `HTMLMaterializer` | HTML report | Sharing, dashboards |
+| `MarkdownMaterializer` | Markdown table on stdout | Pull request comments, CI job summaries |
+| `SQLAlchemyMaterializer` | Database rows | Tracking metrics over time |
 
 ## Using Materializers
 
@@ -99,6 +101,59 @@ Features:
 - Responsive design
 - Color-coded values
 
+## Markdown Materializer
+
+Prints a GitHub-flavoured Markdown table to stdout. Redirect it into a pull request
+comment or a CI job summary:
+
+```python
+from checkup import MarkdownMaterializer
+
+result.materialize(MarkdownMaterializer())
+```
+
+The table holds one row per measurement, with the value column right-aligned:
+
+```markdown
+| Name | Description | Value | Unit | Diagnostics |
+| --- | --- | ---: | --- | --- |
+| file_count | Number of files | 42 | files | Found 42 files |
+```
+
+Pipes in a value become `\|` and newlines become `<br>`, so a diagnostic that spans
+several lines still renders as one row.
+
+## SQLAlchemy Materializer
+
+Writes measurements as rows to a database table, creating the table when it does not
+exist. Each run appends rows and stamps them with `measured_at`, which makes it the
+option to reach for when tracking metrics over time:
+
+```python
+from checkup import SQLAlchemyMaterializer
+
+result.materialize(
+    SQLAlchemyMaterializer(
+        connection_url="sqlite:///metrics.db",
+        table_name="metrics",
+    )
+)
+```
+
+Any database SQLAlchemy supports works through the connection URL, including
+PostgreSQL and MySQL. The default table holds these columns:
+
+`name`, `value`, `unit`, `diagnostic`, `description`, `tags`, `measured_at`
+
+| Argument | Default | Description |
+|----------|---------|-------------|
+| `connection_url` | required | SQLAlchemy connection URL, stored as a secret |
+| `table_name` | `"metrics"` | Target table |
+| `table_schema` | `None` | Database schema, such as `analytics` |
+| `connect_args` | `None` | Arguments passed to the underlying driver |
+| `expand_tags` | `False` | Write each tag to its own `tag_<key>` column instead of one JSON `tags` column |
+| `batch_size` | `1000` | Rows per insert batch |
+
 ## Multiple Outputs
 
 You can materialize to multiple formats:
diff --git a/docs/concepts/metrics.md b/docs/concepts/metrics.md
index d9c68b7..1dc456b 100644
--- a/docs/concepts/metrics.md
+++ b/docs/concepts/metrics.md
@@ -13,9 +13,9 @@ from checkup.types import Context
 
 class MyMetric(Metric):
     # Required class attributes
-    name = "my_metric"
-    description = "Description of what this metric measures"
-    unit = "count"
+    name: str = "my_metric"
+    description: str = "Description of what this metric measures"
+    unit: str = "count"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         # Your calculation logic here
@@ -53,7 +53,7 @@ return self.measure(value=42, diagnostic="Explanation", tags={"key": "value"})
 
 ## The Calculate Method
 
-The `calculate` method is where you implement your metric logic:
+The `calculate` method holds your metric logic:
 
 ```python
 def calculate(self, context: Context, measurements: dict) -> Measurement:
@@ -77,18 +77,18 @@ Metrics can depend on other metrics. The framework ensures dependencies are calc
 
 ```python
 class BaseMetric(Metric):
-    name = "base_metric"
-    description = "A base metric"
-    unit = "count"
+    name: str = "base_metric"
+    description: str = "A base metric"
+    unit: str = "count"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         return self.measure(value=100)
 
 
 class DerivedMetric(Metric):
-    name = "derived_metric"
-    description = "Depends on base metric"
-    unit = "percent"
+    name: str = "derived_metric"
+    description: str = "Depends on base metric"
+    unit: str = "percent"
 
     @classmethod
     def depends_on(cls) -> list[type[Metric]]:
@@ -113,9 +113,9 @@ class MyDataProvider(Provider):
 
 
 class MyMetric(Metric):
-    name = "my_metric"
-    description = "Uses my_data provider"
-    unit = "items"
+    name: str = "my_metric"
+    description: str = "Uses my_data provider"
+    unit: str = "items"
 
     @classmethod
     def providers(cls) -> list[type[Provider]]:
@@ -132,22 +132,24 @@ class MyMetric(Metric):
 Metrics can specify how they should be executed:
 
 ```python
+from typing import ClassVar
+
 from checkup import ExecutorType
 
 
 class IOBoundMetric(Metric):
-    name = "io_metric"
-    executor = ExecutorType.THREAD  # Default, for I/O-bound operations
+    name: str = "io_metric"
+    executor: ClassVar[ExecutorType] = ExecutorType.THREAD  # Default, for I/O-bound operations
 
 
 class CPUBoundMetric(Metric):
-    name = "cpu_metric"
-    executor = ExecutorType.PROCESS  # For CPU-intensive calculations
+    name: str = "cpu_metric"
+    executor: ClassVar[ExecutorType] = ExecutorType.PROCESS  # For CPU-intensive calculations
 
 
 class AsyncMetric(Metric):
-    name = "async_metric"
-    executor = ExecutorType.ASYNCIO  # For async I/O operations
+    name: str = "async_metric"
+    executor: ClassVar[ExecutorType] = ExecutorType.ASYNCIO  # For async I/O operations
 ```
 
 | Executor | Best For | Notes |
@@ -162,9 +164,9 @@ Tags allow grouping and filtering metrics. Tags can be set when creating the mea
 
 ```python
 class TaggedMetric(Metric):
-    name = "tagged_metric"
-    description = "A metric with tags"
-    unit = "count"
+    name: str = "tagged_metric"
+    description: str = "A metric with tags"
+    unit: str = "count"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         return self.measure(
@@ -195,15 +197,17 @@ result.materialize(
 ## Example: Complete Metric
 
 ```python
+from typing import ClassVar
+
 from checkup import Metric, Provider, ExecutorType, Measurement
 from checkup.types import Context
 
 
 class CodeCoverageMetric(Metric):
-    name = "code_coverage"
-    description = "Percentage of code covered by tests"
-    unit = "percent"
-    executor = ExecutorType.THREAD
+    name: str = "code_coverage"
+    description: str = "Percentage of code covered by tests"
+    unit: str = "percent"
+    executor: ClassVar[ExecutorType] = ExecutorType.THREAD
 
     @classmethod
     def providers(cls) -> list[type[Provider]]:
diff --git a/docs/concepts/overview.md b/docs/concepts/overview.md
index 952be8a..c614c5e 100644
--- a/docs/concepts/overview.md
+++ b/docs/concepts/overview.md
@@ -2,7 +2,7 @@
 
 CheckUp is built around three core concepts that work together to calculate and output metrics.
 
-## The Three Pillars
+## Providers, metrics, and materializers
 
 ```
 ┌─────────────┐     ┌─────────────┐     ┌──────────────┐
@@ -52,6 +52,8 @@ Available formats:
 - Console (rich tables)
 - CSV files
 - HTML reports
+- Markdown tables
+- Database rows, through SQLAlchemy
 
 ## The CheckHub Orchestrator
 
@@ -75,20 +77,21 @@ result.materialize(ConsoleMaterializer(...))
 
 ## Execution Flow
 
-1. **Registration**: Metrics and provider sets are registered with CheckHub
+1. **Registration**: CheckHub registers the metrics and provider sets
 2. **Dependency Resolution**: The framework builds a dependency graph and determines execution order
-3. **Validation**: Provider requirements are validated against available providers
+3. **Validation**: The framework validates provider requirements against the available providers
 4. **Provider Execution**: Each provider set runs to enrich context
-5. **Metric Calculation**: Metrics are calculated in dependency order
-6. **Result Aggregation**: Results from all provider sets are combined
-7. **Materialization**: Results are output in the desired format
+5. **Metric Calculation**: The framework calculates metrics in dependency order
+6. **Result Aggregation**: CheckHub combines the results from all provider sets
+7. **Materialization**: The materializer writes the results in the format you chose
 
 ## Multi-Context Execution
 
 CheckUp supports running metrics across multiple contexts (provider sets):
 
 ```python
-CheckHub()
+(
+    CheckHub()
     .with_metrics([RepoMetric])
     .with_providers([
         [GitProvider(repo="repo-a")],
@@ -96,15 +99,16 @@ CheckHub()
         [GitProvider(repo="repo-c")],
     ])
     .measure()
+)
 ```
 
 This calculates the same metrics for each repository, enabling comparative analysis.
 
 ## Parallel Execution
 
-Metrics are calculated in parallel using a process pool:
+CheckUp calculates metrics in parallel using a process pool:
 
-- Provider sets are executed concurrently
+- CheckHub runs provider sets concurrently
 - Within each context, metrics respect dependency order
 - CPU-bound metrics can use the `PROCESS` executor
 - I/O-bound metrics can use the `THREAD` executor
@@ -112,9 +116,9 @@ Metrics are calculated in parallel using a process pool:
 
 ## Error Handling
 
-CheckUp provides robust error handling:
+CheckUp reports failures instead of hiding them:
 
-- Provider failures are captured and reported
-- Individual context failures don't stop other contexts
+- CheckUp captures and reports provider failures
+- Each context fails independently, so the others keep running
 - `MeasurementResult.errors` contains all failures
-- Detailed logging is available for debugging
+- Logging is available for debugging
diff --git a/docs/concepts/providers.md b/docs/concepts/providers.md
index 7abf0cc..839cbfe 100644
--- a/docs/concepts/providers.md
+++ b/docs/concepts/providers.md
@@ -79,13 +79,15 @@ class DatabaseProvider(Provider):
 Use providers with different configurations:
 
 ```python
-CheckHub()
+(
+    CheckHub()
     .with_metrics([MyMetric])
     .with_providers([
         [DatabaseProvider("postgres://prod/db")],
         [DatabaseProvider("postgres://staging/db")],
     ])
     .measure()
+)
 ```
 
 ## Provider Sets
@@ -93,7 +95,8 @@ CheckHub()
 Provider sets allow running the same metrics against different contexts:
 
 ```python
-CheckHub()
+(
+    CheckHub()
     .with_metrics([RepoMetrics])
     .with_providers([
         # Each inner list is a "provider set"
@@ -102,6 +105,7 @@ CheckHub()
         [GitProvider(repo="repo-a"), EnvProvider(env="staging")],
     ])
     .measure()
+)
 ```
 
 Each provider set runs independently, creating separate context for metrics.
diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
index b1d08dc..a356cd2 100644
--- a/docs/getting-started/installation.md
+++ b/docs/getting-started/installation.md
@@ -3,20 +3,20 @@
 ## Requirements
 
 - Python 3.12 or higher
-- pip or uv package manager
+- [uv](https://docs.astral.sh/uv/) package manager
 
 ## Installing CheckUp
 
-### Using pip
+Add CheckUp to your project:
 
 ```bash
-pip install checkup
+uv add checkup
 ```
 
-### Using uv
+To try CheckUp without adding it to a project, run the CLI directly:
 
 ```bash
-uv add checkup
+uvx checkup
 ```
 
 ### From Source
@@ -24,21 +24,21 @@ uv add checkup
 Clone the repository and install in development mode:
 
 ```bash
-git clone https://github.com/datamindedbe/incubator-checkup.git
-cd incubator-checkup
+git clone https://github.com/datamindedbe/checkup.git
+cd checkup
 uv sync
 ```
 
 ## Installing Plugins
 
-CheckUp provides several plugins for specific use cases. Install them as needed:
+Install plugins as needed:
 
 ### Git Plugin
 
 For analyzing Git repositories:
 
 ```bash
-pip install checkup-git
+uv add checkup-git
 ```
 
 ### dbt Plugin
@@ -46,7 +46,7 @@ pip install checkup-git
 For dbt project metrics:
 
 ```bash
-pip install checkup-dbt
+uv add checkup-dbt
 ```
 
 ### Python Plugin
@@ -54,7 +54,7 @@ pip install checkup-dbt
 For Python project analysis:
 
 ```bash
-pip install checkup-python
+uv add checkup-python
 ```
 
 ### Conveyor Plugin
@@ -62,22 +62,21 @@ pip install checkup-python
 For Conveyor platform integration:
 
 ```bash
-pip install checkup-conveyor
+uv add checkup-conveyor
 ```
 
 ## Verifying Installation
 
-After installation, verify that CheckUp is correctly installed:
+Verify the installation:
 
 ```bash
-checkup
+uv run checkup --version
 ```
 
-You should see:
+This prints the installed version. To list the plugins available in your environment:
 
-```
-Checkup metrics framework
-Import CheckHub to get started
+```bash
+uv run checkup plugins
 ```
 
 Or verify in Python:
@@ -93,8 +92,8 @@ For contributing to CheckUp:
 
 ```bash
 # Clone the repository
-git clone https://github.com/datamindedbe/incubator-checkup.git
-cd incubator-checkup
+git clone https://github.com/datamindedbe/checkup.git
+cd checkup
 
 # Install with development dependencies
 uv sync
diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md
index 2d89aa8..963eae6 100644
--- a/docs/getting-started/quickstart.md
+++ b/docs/getting-started/quickstart.md
@@ -1,6 +1,6 @@
 # Quick Start
 
-This guide will help you get started with CheckUp by walking through a complete example.
+This guide walks through a complete example.
 
 ## Creating Your First Metric
 
@@ -12,9 +12,9 @@ from checkup.types import Context
 
 
 class FileCountMetric(Metric):
-    name = "file_count"
-    description = "Number of files in the project"
-    unit = "files"
+    name: str = "file_count"
+    description: str = "Number of files in the project"
+    unit: str = "files"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         # Access data from context and calculate your metric
@@ -77,9 +77,9 @@ Now update your metric to use the provider:
 
 ```python
 class FileCountMetric(Metric):
-    name = "file_count"
-    description = "Number of files in the project"
-    unit = "files"
+    name: str = "file_count"
+    description: str = "Number of files in the project"
+    unit: str = "files"
 
     @classmethod
     def providers(cls) -> list[type[Provider]]:
@@ -113,9 +113,9 @@ Metrics can depend on other metrics:
 
 ```python
 class TotalLinesMetric(Metric):
-    name = "total_lines"
-    description = "Total lines of code"
-    unit = "lines"
+    name: str = "total_lines"
+    description: str = "Total lines of code"
+    unit: str = "lines"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         # Count lines in all files
@@ -123,9 +123,9 @@ class TotalLinesMetric(Metric):
 
 
 class AverageLinesPerFileMetric(Metric):
-    name = "avg_lines_per_file"
-    description = "Average lines per file"
-    unit = "lines/file"
+    name: str = "avg_lines_per_file"
+    description: str = "Average lines per file"
+    unit: str = "lines/file"
 
     @classmethod
     def depends_on(cls) -> list[type[Metric]]:
diff --git a/docs/images/banner.png b/docs/images/banner.png
new file mode 100644
index 0000000..99a667a
Binary files /dev/null and b/docs/images/banner.png differ
diff --git a/docs/images/favicon.png b/docs/images/favicon.png
new file mode 100644
index 0000000..7876e77
Binary files /dev/null and b/docs/images/favicon.png differ
diff --git a/docs/images/logo.png b/docs/images/logo.png
new file mode 100644
index 0000000..4d75398
Binary files /dev/null and b/docs/images/logo.png differ
diff --git a/docs/index.md b/docs/index.md
index baef1f6..39db1e9 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,10 +1,10 @@
 # CheckUp
 
-![CheckUp](images/horseshoe.png){ width="200" }
+![CheckUp](images/banner.png)
 
 **Computational governance framework for measuring data product health.**
 
-CheckUp is an extensible Python framework designed to calculate metrics from context data, enabling teams to measure and monitor the health of their data products.
+CheckUp calculates metrics from context data, so teams can track the health of their data products.
 
 ## Key Features
 
@@ -21,32 +21,36 @@ from checkup.types import Context
 
 
 class SimpleMetric(Metric):
-    name = "example_metric"
-    description = "A simple example metric"
-    unit = "count"
+    name: str = "example_metric"
+    description: str = "A simple example metric"
+    unit: str = "count"
 
     def calculate(self, context: Context, measurements: dict) -> Measurement:
         return self.measure(value=42, diagnostic="Calculated successfully")
 
 
 # Run the metric and output to console
-(
-    CheckHub()
-    .with_metrics([SimpleMetric()])
-    .measure()
-    .materialize(ConsoleMaterializer(group_tag_1="domain", group_tag_2="project"))
-)
+if __name__ == "__main__":
+    (
+        CheckHub()
+        .with_metrics([SimpleMetric()])
+        .measure()
+        .materialize(ConsoleMaterializer(group_tag_1="domain", group_tag_2="project"))
+    )
 ```
 
+CheckUp runs metrics in a process pool, so scripts need the `if __name__ == "__main__":`
+guard on platforms that spawn subprocesses, such as macOS and Windows.
+
 ## Installation
 
 ```bash
-pip install checkup
+uv add checkup
 ```
 
 ## Getting Started
 
-Ready to dive in? Check out the [Installation Guide](getting-started/installation.md) and [Quick Start](getting-started/quickstart.md) to get up and running.
+Start with the [Installation Guide](getting-started/installation.md), then the [Quick Start](getting-started/quickstart.md).
 
 ## Architecture
 
diff --git a/docs/plugins/conveyor.md b/docs/plugins/conveyor.md
index 79d2c5f..46e2063 100644
--- a/docs/plugins/conveyor.md
+++ b/docs/plugins/conveyor.md
@@ -5,7 +5,7 @@ The Conveyor plugin provides metrics for monitoring projects deployed on the Con
 ## Installation
 
 ```bash
-pip install checkup-conveyor
+uv add checkup-conveyor
 ```
 
 **Note:** This plugin requires the `requests` library.
diff --git a/docs/plugins/dbt.md b/docs/plugins/dbt.md
index b1dd9d7..938420b 100644
--- a/docs/plugins/dbt.md
+++ b/docs/plugins/dbt.md
@@ -5,7 +5,7 @@ The dbt plugin provides metrics for analyzing dbt (data build tool) projects.
 ## Installation
 
 ```bash
-pip install checkup-dbt
+uv add checkup-dbt
 ```
 
 **Note:** This plugin requires `dbt-core>=1.9`.
diff --git a/docs/plugins/git.md b/docs/plugins/git.md
index 88a4f93..62c8c90 100644
--- a/docs/plugins/git.md
+++ b/docs/plugins/git.md
@@ -5,7 +5,7 @@ The Git plugin provides metrics for analyzing Git repositories.
 ## Installation
 
 ```bash
-pip install checkup-git
+uv add checkup-git
 ```
 
 ## Provider
diff --git a/docs/plugins/overview.md b/docs/plugins/overview.md
index 90d94a6..6ef2c90 100644
--- a/docs/plugins/overview.md
+++ b/docs/plugins/overview.md
@@ -17,9 +17,6 @@ Install plugins alongside the core package:
 
 ```bash
 # Install core and desired plugins
-pip install checkup checkup-git checkup-dbt
-
-# Or using uv
 uv add checkup checkup-git checkup-dbt
 ```
 
@@ -120,9 +117,9 @@ from .providers import MyServiceProvider
 
 
 class MyServiceMetric(Metric):
-    name = "myservice_health"
-    description = "Health status of MyService"
-    unit = "status"
+    name: str = "myservice_health"
+    description: str = "Health status of MyService"
+    unit: str = "status"
 
     @classmethod
     def providers(cls) -> list[type[Provider]]:
diff --git a/docs/plugins/python.md b/docs/plugins/python.md
index eb22daf..5d953f6 100644
--- a/docs/plugins/python.md
+++ b/docs/plugins/python.md
@@ -5,7 +5,7 @@ The Python plugin provides metrics for analyzing Python projects.
 ## Installation
 
 ```bash
-pip install checkup-python
+uv add checkup-python
 ```
 
 ## Provider
diff --git a/mkdocs.yml b/mkdocs.yml
index 0e7a08a..b817c78 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,13 +1,13 @@
 site_name: CheckUp
 site_description: Computational governance framework for measuring data product health
-site_url: https://datamindedbe.github.io/incubator-checkup/
-repo_url: https://github.com/datamindedbe/incubator-checkup
-repo_name: datamindedbe/incubator-checkup
+site_url: https://datamindedbe.github.io/checkup/
+repo_url: https://github.com/datamindedbe/checkup
+repo_name: datamindedbe/checkup
 
 theme:
   name: material
-  logo: images/horseshoe.svg
-  favicon: images/horseshoe.svg
+  logo: images/logo.png
+  favicon: images/favicon.png
   palette:
     - media: "(prefers-color-scheme: light)"
       scheme: default
@@ -59,9 +59,6 @@ validation:
   nav:
     omitted_files: ignore
 
-exclude_docs: |
-  plans/
-
 nav:
   - Home: index.md
   - Getting Started:
@@ -84,4 +81,4 @@ nav:
 extra:
   social:
     - icon: fontawesome/brands/github
-      link: https://github.com/datamindedbe/incubator-checkup
+      link: https://github.com/datamindedbe/checkup
diff --git a/docs/plans/2025-12-15-dbt-metrics-plugin-design.md b/plans/2025-12-15-dbt-metrics-plugin-design.md
similarity index 100%
rename from docs/plans/2025-12-15-dbt-metrics-plugin-design.md
rename to plans/2025-12-15-dbt-metrics-plugin-design.md
diff --git a/docs/plans/2025-12-15-metrics-framework-design.md b/plans/2025-12-15-metrics-framework-design.md
similarity index 100%
rename from docs/plans/2025-12-15-metrics-framework-design.md
rename to plans/2025-12-15-metrics-framework-design.md
diff --git a/docs/plans/2025-12-15-metrics-framework-implementation.md b/plans/2025-12-15-metrics-framework-implementation.md
similarity index 100%
rename from docs/plans/2025-12-15-metrics-framework-implementation.md
rename to plans/2025-12-15-metrics-framework-implementation.md
diff --git a/docs/plans/2025-12-15-multi-context-implementation.md b/plans/2025-12-15-multi-context-implementation.md
similarity index 100%
rename from docs/plans/2025-12-15-multi-context-implementation.md
rename to plans/2025-12-15-multi-context-implementation.md
diff --git a/docs/plans/2025-12-16-instance-based-providers-design.md b/plans/2025-12-16-instance-based-providers-design.md
similarity index 100%
rename from docs/plans/2025-12-16-instance-based-providers-design.md
rename to plans/2025-12-16-instance-based-providers-design.md
diff --git a/docs/plans/2025-12-16-instance-based-providers-implementation.md b/plans/2025-12-16-instance-based-providers-implementation.md
similarity index 100%
rename from docs/plans/2025-12-16-instance-based-providers-implementation.md
rename to plans/2025-12-16-instance-based-providers-implementation.md
diff --git a/docs/plans/2025-12-16-namespaced-providers-design.md b/plans/2025-12-16-namespaced-providers-design.md
similarity index 100%
rename from docs/plans/2025-12-16-namespaced-providers-design.md
rename to plans/2025-12-16-namespaced-providers-design.md
diff --git a/pyproject.toml b/pyproject.toml
index 485c255..2b3c71f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -54,8 +54,7 @@ members = [
 [dependency-groups]
 dev = ["pytest>=9.0.2", "pytest-cov>=7.0.0", "ruff>=0.8.6", "prek>=0.3.0"]
 docs = [
-    "mkdocs>=1.6.0",
-    "mkdocs-material>=9.5.0",
+    "zensical>=0.0.50",
     "pymdown-extensions>=10.0",
 ]
 
diff --git a/src/checkup/__init__.py b/src/checkup/__init__.py
index 1d7b465..23ec96c 100644
--- a/src/checkup/__init__.py
+++ b/src/checkup/__init__.py
@@ -11,6 +11,7 @@
     ConsoleMaterializer,
     CSVMaterializer,
     HTMLMaterializer,
+    MarkdownMaterializer,
     Materializer,
     SQLAlchemyMaterializer,
 )
@@ -43,6 +44,7 @@
     "ConsoleMaterializer",
     "CSVMaterializer",
     "HTMLMaterializer",
+    "MarkdownMaterializer",
     "SQLAlchemyMaterializer",
     # Exceptions
     "ProviderError",
diff --git a/uv.lock b/uv.lock
index 5ceb1b1..6536723 100644
--- a/uv.lock
+++ b/uv.lock
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-
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 version = "2025.11.12"
@@ -171,9 +157,8 @@ dev = [
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 ]
 docs = [
-    { name = "mkdocs" },
-    { name = "mkdocs-material" },
     { name = "pymdown-extensions" },
+    { name = "zensical" },
 ]
 
 [package.metadata]
@@ -195,9 +180,8 @@ dev = [
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-    { name = "mkdocs-material", specifier = ">=9.5.0" },
     { name = "pymdown-extensions", specifier = ">=10.0" },
+    { name = "zensical", specifier = ">=0.0.50" },
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