Hatch vs uv
Hatch
hatch.pypa.iouv
docs.astral.shSide by side
| Figure | Hatch | uv |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Python Package Managers | 8.2 (#4) | 8.0 (#10) |
| Integrations | The installation guide documents an official GitHub Actions install action. | The documentation lists integrations and guides for Docker, Jupyter, marimo, GitHub Actions, GitLab CI/CD, Pre-commit, PyTorch, FastAPI, and several package registries. |
Plans
In their own words
Hatch
Hatch is a free, MIT-licensed Python project manager for creating projects and managing development environments on Linux, macOS, and Windows. It can start projects from templates or initialize existing ones, including migrating setuptools configuration from setup.py. Environment management supports custom scripts and UV, with manual Python installations or automatic installation as part of an environment. Hatch also supports reproducible builds, test execution, and static analysis backed by Ruff. For publishing, it can upload packages to PyPI and other package indices; lockfiles, dependency groups, and private registries are listed capabilities. Its plugin system uses pluggy, with documented extension types for environments, builders, publishers, and other project tasks. Visual Studio Code can discover Hatch environments through the vscode-python extension, and an official GitHub Actions install action is documented. Installation options include standalone installers or binaries, pip, pipx, Homebrew, Conda, and other methods. The documentation provides a self-report command that prepares a GitHub issue for unexpected behavior.
uv
uv is a Python package and project manager for Linux, macOS, and Windows. Written in Rust, it manages dependencies and environments, with lockfiles and workspaces, and can install, list, pin, or uninstall Python versions. It also runs scripts with dependencies and runs or installs command-line tools from Python packages. Its pip-compatible interface is intended to cover work done by tools such as pip, pip-tools, pipx, poetry, pyenv, twine, and virtualenv, though its commands do not exactly match those tools. The documentation describes uv as 10–100x faster than pip. It supports source distributions, wheels, requirements.txt, and pylock.toml, as well as offline installation and private registry authentication. For package selection, its default first-index strategy limits candidates to the first index where a package is found. Credentials are not stored in uv.lock, but uv currently stores them in a plaintext file; native system secret storage is an experimental preview. The free plan is free.