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Algorithm Lab

A Deno + TypeScript playground for exploring algorithmic complexity, performance characteristics, and type-safe API design.

Getting started

deno task start   # interactive benchmark selector
deno task test    # run unit tests

An interactive CLI lets you select which algorithms to benchmark, set iteration counts, and view results in a live-updating table.

Complexity notation

All time and space complexities are expressed using Big O notation.

image

Benchmark setup

  • Dataset sizes per category: search 10K–1M, sort 1K–50K, DSA problems 100–5K.
  • JIT warmup phase before measurement.
  • Per-iteration timing via performance.now() with min/avg/max reporting.
  • Randomized input for sort; worst-case input for search; mixed for DSA problems.