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A tiny, precise microbenchmarking framework for Python

Project description

PyBench — a microbenchmarking framework for Python

Write small, focused benchmarks with automatic file discovery, simple parameterization, and a clean, minimal CLI.

Run benchmarks with a single command:

pybench path/to/file_or_dir [-k keyword] [-P key=value ...]

✨ Features

  • One-line registration: register cases with bench.bench(...); optionally use BenchContext.start()/end() to measure only the critical section.
  • Auto-discovery: pybench <dir> expands **/*bench.py.
  • Parameterization: generate multiple cases via params={...} (cartesian product) or per-case args/kwargs.
  • CLI overrides: -P key=value to tweak parameters at runtime (no code edits).
  • Sound timing: high-resolution, monotonic clock; built-in warmup and repeat.
  • Nice output: medians, means, and stdev per call (ns) with iterations/repeats.

📦 Installation

  • With pip:
    pip install pybench
    
  • With uv:
    uv pip install pybench
    

🚀 Usage

  • Run benchmarks in a file or directory:
    pybench path/to/file_or_dir [-k keyword] [-P key=value ...]
    
  • Examples:
    # Filter by keyword in case/file name
    pybench benches/ -k json
    
    # Pass runtime parameters
    pybench benches/ -P size=1000 -P repeats=10
    

Tip: use BenchContext.start()/end() when you only want to measure the critical section of your benchmark.

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