pip-upgrader
An interactive pip requirements upgrader. It also updates the version in your requirements.txt file.
Decision gist · record as of 2026-08-14
Yes. Active maintenance, no known vulnerabilities, low install friction, and solves a genuine pain point in dependency management. The tool is well-suited for both interactive local development and automated CI workflows. Install as a system tool via uv to keep it out of project dependencies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with 5 runtime dependencies.
- Actively maintained (released 4 days ago, last commit 2026-08-10), supports Python 3.10 through 3.14.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 551 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 104,065 downloads/mo, #12,772 on PyPI
Alternatives
Verify before relying
pip install pip-upgrader
pip-upgrade requirements.txt
# or for interactive selection:
pip-upgrade requirements.txt -p django -p celery
# or non-interactive:
pip-upgrade requirements.txt --non-interactive- Whether the tool handles all edge cases in version constraint syntax (e.g., complex version specifiers beyond ==, >=, ~=)
- Performance characteristics when upgrading large dependency trees with many packages
- How the tool handles transitive dependency conflicts during upgrades
What it is and what it does
pip-upgrader is a command-line tool that automates the tedious process of upgrading Python package versions across multiple dependency file formats. It works with requirements.txt, pyproject.toml (PEP 621 and Poetry), and Pipfile, allowing you to upgrade packages interactively or in batch mode, and crucially, it updates the pinned versions directly in your source files rather than just installing newer packages.
The tool queries PyPI to find available versions and lets you choose which packages to upgrade, with options to skip specific packages, limit upgrades to minor or patch versions only, include prerelease versions, and run in fully non-interactive mode for CI pipelines. It auto-detects requirements files in the current directory if none are specified, and respects Python version compatibility when filtering available upgrades.
Use it for
- Regularly audit and upgrade dependencies in a project while keeping major versions pinned to avoid breaking changes.
- Automate dependency updates in CI/CD pipelines using --non-interactive mode with selective --skip rules.
- Upgrade Poetry or Pipenv projects without manually editing pyproject.toml or Pipfile syntax.
- Perform a dry-run audit of available upgrades across multiple requirements files before committing changes.
- Selectively upgrade only patch versions in production projects to minimize risk of incompatibilities.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, no known vulnerabilities, low install friction, and solves a genuine pain point in dependency management. The tool is well-suited for both interactive local development and automated CI workflows. Install as a system tool via uv to keep it out of project dependencies.
Install
pip-upgrader on PyPI
Before you install
Low friction install with 5 runtime dependencies. Actively maintained (released 4 days ago, last commit 2026-08-10), supports Python 3.10 through 3.14. Can be installed as a tool via uv to avoid polluting project dependencies.
Requires Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pip-upgrader
pip-upgrade requirements.txt
# or for interactive selection:
pip-upgrade requirements.txt -p django -p celery
# or non-interactive:
pip-upgrade requirements.txt --non-interactiveVerify before relying
- Whether the tool handles all edge cases in version constraint syntax (e.g., complex version specifiers beyond ==, >=, ~=)
- Performance characteristics when upgrading large dependency trees with many packages
- How the tool handles transitive dependency conflicts during upgrades
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesdocopt-ngpackagingquestionaryrequeststomli |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 104,065 / month, #12,772 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Utilities |
Evidence: pip_upgrader-2.4.13-py3-none-any.whl
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See also pipupgrade · vale · bump · requirementslib · poetry · pipfile · migrate-to-uv · pip-tools · launchable · pipenv