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python/pyperformance

Python Performance Benchmark Suite observed · 2026-08-28

github.com/python/pyperformance · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

84/100

  • Activity 98
  • Release rhythm 57
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 52.5
  • age_days: 3668
  • days_rel: 207
  • days_push: 16
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

1027 stars · 203 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pyperformance is the official Python Performance Benchmark Suite, providing an authoritative set of real-world benchmarks for Python implementations such as CPython. It is distributed as a CLI tool on PyPI and used by projects like speed.python.org to measure and compare interpreter performance.

Use cases

  • benchmark python interpreter performance
  • compare cpython versions with real-world benchmarks
  • measure performance impact of a python patch
  • run standardized python benchmarks from the command line
  • track python performance regressions over time
  • benchmark a custom python build

When to choose

  • you need authoritative, standardized benchmarks for CPython or other Python implementations
  • you want to compare performance across Python versions or builds
  • you contribute to CPython and need to validate performance changes

When to avoid

  • you need benchmarks tuned for PyPy specifically
  • you want micro-benchmarks for a single library rather than whole-application workloads
  • you need load or stress testing of web services

Facets

cli-tool · maturity active

benchmarking developer-tools cli performance developer-tools programming-languages python cli cross-platform cpython pypy benchmarks pyperf python-implementations

3 sources

Member repositories

RepositoryRoleHealth v2
python/pyperformancemain84

For agents

markdown · JSON · MCP: product_card(name="python/pyperformance")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem