conda vs Hatch
conda
conda.ioHatch
hatch.pypa.ioSide by side
| Figure | conda | Hatch |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Python Package Managers | 7.8 (#12) | 8.2 (#4) |
| Environments | Conda lets users create and manage separate environments for projects. | Hatch provides environment management with custom scripts and support for uv. |
| Integrations | Conda can work with pip in an active conda environment, though the documentation notes unavoidable compatibility limits between pip and conda packages. | The installation guide documents an official GitHub Actions install action. |
| Platforms | The conda site lists Miniconda and Miniforge installers for Windows x86_64, macOS arm64 and x86_64, and Linux x86_64 and aarch64. | The installation guide provides installers or standalone binaries for macOS, Windows, and Linux. |
| Plugins | Conda’s behavior can be extended through plugins. | Hatch uses pluggy for plugin functionality, and its documentation describes plugin types for builders, environments, publishers, and other extensions. |
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.