Hatch vs Mamba
Hatch
hatch.pypa.ioMamba
mamba.readthedocs.ioSide by side
| Figure | Hatch | Mamba |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Python Package Managers | 8.2 (#4) | 8.8 (#2) |
| Installation | The installation documentation provides installers or standalone binaries for Windows, macOS, and Linux, as well as pip, pipx, Homebrew, Conda, and other installation methods. | The docs recommend installing Mamba through the Miniforge distribution, which comes with conda-forge preconfigured, and also document Miniforge Docker images. |
| Platforms | The installation guide provides installers or standalone binaries for macOS, Windows, and Linux. | Mamba runs on Windows, OS X, and Linux, including ARM64 and PPC64LE; installation instructions also cover macOS Silicon. |
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.
Mamba
Mamba manages conda environments across Linux, macOS, Windows, API, and self-hosted setups. It creates and activates environments, installs packages, and runs commands inside them. It works with conda packages and supports most conda commands; its parallel downloads and libsolv solver speed package resolution. The framework includes the mamba command-line interface, the libmamba C++ library, micromamba, and Python bindings. Environment creation accepts text, Conda YAML, explicit, and conda-lock YAML specifications, and micromamba can install conda-lock files directly. The repoquery command searches repositories and can display direct, recursive, and reverse dependencies. Environments are self-contained prefixes that can manage native dependencies across programming languages. Mamba documents verification for package archives and extracted files, while repository index verification remains experimental. By default, it warns and asks for confirmation before transactions run package link scripts that can perform system operations. Mamba is free, open-source software under the BSD-3-Clause license, with lockfile support.