Hatch vs pip

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.

pip installs Python packages from PyPI and other package indexes, as well as from version control URLs, local project directories, and source archives. It supports source distributions and wheels, resolves dependencies, and can install an environment specified in a requirements file. Its install command can produce a JSON report of installed packages. pip runs on Linux, macOS, and Windows, and the current version supports CPython 3.10 through 3.15 and the latest PyPy3. Other operating systems and Python versions are not supported by its maintainers. It is commonly included in virtual environments and Python downloads from python.org; ensurepip and get-pip.py are also installation options. An experimental standalone zip application is available, but its documentation advises against production use. pip is free. It does not collect telemetry, though it sends non-identifying details such as Python version and operating system to the remote indexes it accesses. Remote tampering checks are not enabled by default; hash-checking mode and binary-only installs are listed as more secure options.