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Buildout vs Hatch

Buildout

buildout.org

Hatch

hatch.pypa.io

Side by side

FigureBuildoutHatch
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published01
Spec score · Python Package Managers7.7 (#15)8.2 (#4)
ExtensibilityThe documentation says recipes can automate tasks such as installing non-Python software from source or running JavaScript builders.Hatch uses pluggy for plugin functionality and documents plugin types for environments, builders, publishers, and other project tasks.
InstallationThe recommended installation method is pip inside a virtual environment, using `pip install zc.buildout`.The installation documentation provides installers or standalone binaries for Windows, macOS, and Linux, as well as pip, pipx, Homebrew, Conda, and other installation methods.

Plans

Buildout

No plans published.

Buildout pricing →

Hatch

  • HatchFree

Hatch pricing →

In their own words

Buildout

Buildout has no write-up on Specifiction yet; its figures are above.

Visit buildout.org

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.

Visit hatch.pypa.io