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An interactive pip requirements upgrader. It also updates the version in your requirements.txt file.

Project description

pip-upgrader CI PyPI License

An interactive pip requirements upgrader. Because upgrading requirements, package by package, is a pain in the ass. It also updates the version in your requirements.txt and pyproject.toml files.

Purpose

This cli tool helps you interactively(or not) upgrade packages from requirements files, pyproject.toml (PEP 621), or Poetry projects, and also update the pinned version in-place.

If no requirements are given, the command attempts to detect requirements file(s) and pyproject.toml in the current directory.

Quick preview:

image

Installation

uv tool install pip-upgrader

or with pip:

pip install pip-upgrader

Requires Python 3.10+

To avoid installing all these dependencies in your project, you can install pip-upgrader as a tool (via uv tool install) or in your system Python, rather than your virtualenv.

Usage

CD into your project. Then:

$ pip-upgrade

This will update the pinned versions in your requirements files. You then install yourself with uv sync, pip install -r requirements.txt, or whatever you use.

Arguments:

requirements_file(s)          The requirement FILE, WILDCARD PATH to multiple files, or pyproject.toml. (positional arguments)
--prerelease                  Include prerelease versions for upgrade, when querying pypi repositories.
-p <package>                  Pre-choose which packages to upgrade. Skips any prompt.
--dry-run                     Simulates the upgrade, but does not execute the actual upgrade.
--skip-greater-equal          Skip packages with >= and ~= pins (by default ==, >=, and ~= are checked).
--use-default-index           Skip searching for custom index-url in pip configuration file(s).
--timeout <seconds>           Set a custom timeout for PyPI requests (default: 15 seconds).
--minor                       Only upgrade within the same major version (e.g. 1.2.3 -> 1.x.y).
--patch                       Only upgrade within the same major.minor version (e.g. 1.2.3 -> 1.2.x).

Examples:

pip-upgrade             # auto discovers requirements file(s) and pyproject.toml
pip-upgrade requirements.txt
pip-upgrade pyproject.toml
pip-upgrade requirements/dev.txt requirements/production.txt

# skip prompt and manually choose some/all packages for upgrade
pip-upgrade requirements.txt -p django -p celery
pip-upgrade requirements.txt -p all

# upgrade dependencies in pyproject.toml (PEP 621)
pip-upgrade pyproject.toml -p all

# upgrade dependencies in a Poetry project
pip-upgrade pyproject.toml -p all

# include pre-release versions
pip-upgrade --prerelease

# skip packages pinned with >= or ~= (only upgrade == pins)
pip-upgrade --skip-greater-equal

# only upgrade within the same major version (no breaking changes)
pip-upgrade --minor

# only upgrade patch versions (safest)
pip-upgrade --patch

# set a custom timeout for PyPI requests
pip-upgrade --timeout 30

Supported Formats

  • requirements.txt (and .pip, .in variants) — ==, >=, and ~= pins
  • pyproject.toml (PEP 621)[project.dependencies] and [project.optional-dependencies]
  • pyproject.toml (Poetry)[tool.poetry.dependencies] and [tool.poetry.group.*.dependencies]
    • String format: Django = "==1.10", requests = ">=2.25.0,<3.0.0"
    • Dict format: django-rest-auth = {version = "==0.9.0", extras = ["with_social"]}
    • Only == and >= pins are upgraded (caret ^, tilde ~, and wildcard * pins are skipped)
  • Compatible release (~=)~=1.2.3 is treated as >=1.2.3, <1.3 per PEP 440; upgrades are constrained within the compatible range

Development

This project uses uv for dependency management:

uv sync --extra test --extra dev   # install all dependencies
uv run pytest                      # run tests
uv run ruff check .                # lint
uv run ruff format --check .       # check formatting

Releasing

Releases are published to PyPI automatically via GitHub Actions when a version tag is pushed:

git tag v2.1.0
git push origin v2.1.0

This triggers the publish.yml workflow which builds and publishes to PyPI using trusted publishers (OIDC).

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