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airspeed-velocity

airspeed-velocity/asv

A Python benchmarking tool that tracks package performance across commits and publishes results as a static web report.

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Last commit
5 days ago

What is it?

airspeed velocity (asv) benchmarks a Python package over its lifetime. Rather than measuring a single run, it runs a suite of benchmarks against historical commits so developers can see how performance changed over time.

Results are shown in an interactive web frontend. The generated site is static, so it only needs a basic web server to host, with no backend required.

asv is installed from PyPI with pip, and its license is BSD-3-Clause.

Key features

  • 01Runs a benchmark suite across the history of a project's commits.
  • 02Presents results in an interactive web frontend.
  • 03Generates a static site that any basic web server can host.
  • 04Installable with pip from PyPI.

Use cases

  • Tracking performance regressions in a Python library across releases.
  • Publishing a public benchmark history page for a Python project, as the NumPy example site does.
  • Comparing performance of a package between commits during development.

Quick start

  1. 1

    Install asv from PyPI

    pip install asv

Things to know

  • Designed mainly for benchmarking a single project over its lifetime rather than arbitrary one-off comparisons.

In collections

Static site generators & documentation tools

Topics

#benchmark#performance#python#profiling#static-site#airspeed-velocity

FAQ

What is asv?
A Python benchmarking tool that tracks package performance across commits and publishes results as a static web report. airspeed velocity (asv) benchmarks a Python package over its lifetime. Rather than measuring a single run, it runs a suite of benchmarks against historical commits so developers can see how performance changed over time.
Is asv free to use? What license does it have?
asv is open source under the BSD-3-Clause license. Check the license terms before using it in commercial products.
Is asv still maintained?
Actively maintained. The last commit to asv was on Nov 3, 2026.
What can I use asv for?
Tracking performance regressions in a Python library across releases. Publishing a public benchmark history page for a Python project, as the NumPy example site does. Comparing performance of a package between commits during development.
How do I install asv?
Install asv from PyPI: pip install asv
Where can I get asv?
The source code and installation instructions are on GitHub: https://github.com/airspeed-velocity/asv

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