The Python Performance Benchmark Suite

The pyperformance project is intended to be an authoritative source of benchmarks for all Python implementations. The focus is on real-world benchmarks, rather than synthetic benchmarks, using whole applications when possible.

• pyperformance documentation
• pyperformance GitHub project (source code, issues)
• Download pyperformance on PyPI

pyperformance is distributed under the MIT license.

Documenation:

• Usage
  • Installation
  • Run benchmarks
  • Compile Python to run benchmarks
  • How to get stable benchmarks
  • pyperformance virtual environment
  • What is the goal of pyperformance
  • Notes
• Benchmarks
  • Available Groups
  • Available Benchmarks
• Custom Benchmarks
  • Using Custom Benchmarks
  • The pyperformance File Formats
• CPython results, 2017
  • Optimizations
  • Slowdown
  • Timeline
• Changelog
  • Version 1.0.6 (2022-11-20)
  • Version 1.0.4 (2022-01-25)
  • Version 1.0.3 (2021-12-20)
  • Version 1.0.2 (2021-05-11)
  • Version 1.0.1 (2020-03-26)
  • Version 1.0.0 (2019-12-17)
  • Version 0.9.1 (2019-07-29)
  • Version 0.9.0 (2019-05-29)
  • Version 0.8.0 (2019-05-10)
  • Version 0.7.0 (2018-10-16)
  • Version 0.6.1 (2018-01-11)
  • Version 0.6.0 (2017-07-06)
  • Version 0.5.5 (2017-05-29)
  • Version 0.5.4 (2017-04-10)
  • Version 0.5.3 (2017-03-27)
  • Version 0.5.2 (2017-03-17)
  • Version 0.5.1 (2017-01-16)
  • Version 0.5.0 (2016-11-16)
  • Version 0.4.0 (2016-11-07)
  • Version 0.3.2 (2016-10-19)
  • Version 0.3.1 (2016-10-19)
  • Version 0.3.0 (2016-10-11)
  • Version 0.2.2 (2016-09-19)
  • Version 0.2.1 (2016-09-10)
  • Version 0.2 (2016-09-01)
  • Version 0.1.2 (2016-08-27)
  • Version 0.1.1 (2016-08-24)
  • Version 0.1 (2016-08-24)
  • History

Other Python Benchmarks:

• CPython: speed.python.org uses pyperf, pyperformance and Codespeed (Django web application)
• PyPy: speed.pypy.org uses PyPy benchmarks
• Pyston: pyston-perf and speed.pyston.org
• Numba benchmarks
• Cython: Cython Demos/benchmarks
• pythran: numpy-benchmarks

See also the Python speed mailing list and the Python pyperf module (used by pyperformance).

pyperformance is not tuned for PyPy yet: use the PyPy benchmarks project instead to measure PyPy performances.

Image generated by bm_raytrace (pure Python raytrace):