mew
A tool for microbenchmarking Python code, powered by Google Benchmark.
import mew
@mew.benchmark
def bench_sorted(state: mew.State) -> None:
data = list(range(1000, 0, -1))
for _ in state:
sorted(data)
$ mew run
mew · host=laptop cpus=10 scaling=enabled
Benchmark │ Iters │ Real │ CPU
────────────────────────────────────────────────────────────────────────────
benchmarks/bench_sort.py::bench_sorted │ 1,000,000 │ 32.10 ns │ 32.05 ns
- Decorate:
@mew.benchmark,@mew.parametrize,@mew.productregister one benchmark or a benchmark family. - Run:
mew rundiscoversbench_*.pyfiles, streams results to a formatted table, JSON, or a JSONL archive. - Profiling:
mew run --sample(in-process pyinstrument) and--profile-memory(memray allocations) in the same run, driven by Google Benchmark's own profiler/memory managers. - Compare:
mew compare head.json baseline.json --regression-threshold 5% --exit-non-zero-on-regressionfor CI jobs.
Installation
$ uv add mew-bench # or: pip install mew-bench
$ uv add 'mew-bench[cpu,memory]' # opt-in profilers
Requires Python 3.11+. A pre-built wheel is installed where available; otherwise the C++ extension is compiled via CMake + nanobind.
Docs
- Quickstart, concepts, user guide: https://mew.readthedocs.io/
- API reference: https://mew.readthedocs.io/en/latest/reference/api/
- CLI reference: https://mew.readthedocs.io/en/latest/reference/cli.html
License
This project is licensed under the Apache-2.0 license.
1 maintainer
Metadata
1 maintainer
Release files for mew-bench 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mew_bench-0.2.0.tar.gz | 228.9 kB | Details |
Built distributions (wheels)
Total release size: 9.7 MB
Release files / mew_bench-0.2.0.tar.gz
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| Tags | Source |
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821325eeb09600f8b1e005ca0cf5331f021ef9ad24d86d6f63177a50d91053ed
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twine/7.0.0 CPython/3.13.14
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