The Fast Cross-Platform Package Manager

part of mamba-org
Package Manager mamba	Package Server quetz	Package Builder boa

mamba

mamba is a reimplementation of the conda package manager in C++.

• parallel downloading of repository data and package files using multi-threading
• libsolv for much faster dependency solving, a state of the art library used in the RPM package manager of Red Hat, Fedora and OpenSUSE
• core parts of mamba are implemented in C++ for maximum efficiency

At the same time, mamba utilizes the same command line parser, package installation and deinstallation code and transaction verification routines as conda to stay as compatible as possible.

Mamba is part of a bigger ecosystem to make scientific packaging more sustainable. You can read our announcement blog post. The ecosystem also consists of quetz, an open source conda package server and boa, a fast conda package builder.

Installation

Please refer to the mamba and micromamba installation guide in the documentation.

Additional features in Mamba and Micromamba

mamba and micromamba come with features on top of stock conda.

repoquery

To efficiently query repositories and query package dependencies you can use mamba repoquery or micromamba repoquery. See the repoquery documentation for details.

Installing lock files

micromamba can be used to install lock files generated by conda-lock without having to install conda-lock. Simply invoke e.g. micromamba create -n my-env -f conda-lock.yml with an environment lockfile named *-lock.yml or *-lock.yaml.

provision-with-micromamba (setup-miniconda replacement)

provision-with-micromamba is a replacement for setup-miniconda that uses micromamba. It can significantly reduce your CI setup time by:

• Using micromamba, which takes around 1 s to install.
• Caching package downloads.
• Caching entire conda environments.

micromamba

micromamba is a small, pure-C++ reimplementation of mamba/conda. It strives to be a full replacement for mamba and conda. As such, it doesn't use any conda code (in fact it doesn't require Python at all).

See the documentation on micromamba for details.

Development installation

Please refer to the instructions given by the official documentation.

Support us

For questions, you can also join us on the QuantStack Chat or on the Conda channel (note that this project is not officially affiliated with conda or Anaconda Inc.).

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.