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jazzband/pip-tools

A set of tools to keep your pinned Python dependencies fresh. observed · 2026-10-18

github.com/pypa/pip-tools · homepage · Python · BSD-3-Clause (permissive) observed · 2026-10-18

Health v2 · maintenance only

95/100

  • Activity 100
  • Release rhythm 86
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 59.5
  • age_days: 5153
  • days_rel: 14
  • days_push: 4
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

8004 stars · 679 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

pip-tools is a set of command line tools (pip-compile and pip-sync) for keeping pinned Python dependencies fresh and deterministic. It compiles requirements files from pyproject.toml, setup.cfg, setup.py, or requirements.in and syncs environments to match.

Use cases

  • generate a fully pinned requirements.txt with hashes from pyproject.toml
  • lock Python dependencies for reproducible production builds
  • sync a virtualenv to exactly match a requirements file
  • upgrade pinned dependencies in a controlled way
  • manage transitive dependency resolution for a Python app

When to choose

  • you use pip-based workflows and need deterministic, pinned dependency sets
  • you want lockfile-style reproducibility without leaving pip
  • your project uses pyproject.toml, setup.cfg, or setup.py for dependencies

When to avoid

  • you already use a modern lockfile tool like uv, Poetry, or PDM
  • you need dependency management for non-Python ecosystems

Facets

cli-tool · maturity stable

package-manager developer-tools build-tool developer-tools python cli cross-platform pip-compile pip-sync requirements lockfile dependency-pinning packaging command-line python-packaging

2 sources

Member repositories

RepositoryRoleHealth v2
pypa/pip-toolsmain95

For agents

markdown · JSON · MCP: product_card(name="pypa/pip-tools")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem