Mamba vs Pixi
Mamba
mamba.readthedocs.ioPixi
pixi.prefix.devSide by side
| Figure | Mamba | Pixi |
|---|---|---|
| Price from | Free | €42/mo |
| 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 | 4 |
| Spec score · Python Package Managers | 8.8 (#2) | 8.1 (#7) |
| Spec score · Package Managers | 8.8 (#9) | 8.6 (#14) |
| Lockfile support | Yes | Yes |
| Purpose | Mamba is a fast, robust, cross-platform package manager that manages conda environments. | Pixi is a fast, modern, reproducible package management tool for developers. |
Plans
Pixi
- Free (prefix.dev package hosting)Free
- Open Source (prefix.dev package hosting)Free
- Pro (prefix.dev package hosting)€42 a month
- Enterprise (prefix.dev package hosting)Priced on request
In their own words
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.
Pixi
Pixi is a package management tool for developers building reproducible project environments. It creates isolated environments that can be recreated from built-in lock files, and includes a task runner for project tasks and pipelines. Pixi supports Python and other languages, plus pyproject.toml and PyPI through uv. It can install global tools into isolated environments. For robotics workflows, it offers ROS 2 support through RoboStack for cross-platform development. Documented integrations cover VS Code, JetBrains, Zed, RStudio, JupyterLab, GitHub Actions, and Direnv. The VS Code Python extension can detect Pixi environments; a community-maintained Pixi extension adds task exploration and dependency management. Pixi runs on Linux, macOS, and Windows, with installation options including Homebrew, Windows Installer, Winget, Scoop, GitHub releases, and source installation. The software is free. Separate prefix.dev package-hosting plans include a free option and Pro at €42 a month, billed €500 annually; Enterprise hosting is available by quote. Enterprise builds can restrict allowed channels, proxy settings, certificates, and other policy-sensitive configuration.