Speed up conda installs with mambaTingfeng | 2 min read | 03 January 2023 | [Python] #anaconda #conda #mamba
Conda and Mamba
Conda is an open-source package manager mainly used for managing Python environments.
Historically, installing and updating packages in conda environments was slow and tedious. This motivated QuantStack to create Mamba, a faster drop-in replacement solver for conda.
In December 2022, the conda project included mamba as a default solver, after 9 months in "experimental" status. This is great news for all conda users, however, mamba has to be manually installed and activated.
Here are 3 different ways to install mamba
Method 1: Use libmamba
To switch to the new libmamba solver, run the following commands:
# The following commands install and activate libmamba into the `base` environment conda update -n base conda -y conda install -n base conda-libmamba-solver -y conda config --set solver libmamba # Proceed to use conda as per normal
Method 2: Install mambaforge
Mambaforge can be installed instead of using an existing conda environment. This is the official recommendation of the mamba authors.
Method 3: Install mamba from conda-forge
It is also possible to install mamba onto an existing conda environment via the conda-forge channel. This is not recommended by the mamba authors. Furthermore, installing mamba into any other environment than
base is not supported.
However, I have had no issues with this approach since 2019, but your mileage may vary. Consider yourself warned! Should you use this method, do it on a fresh conda environment to minimise the chances of complications.
# The following commands install mamba in the `base` environment via the conda-forge channel conda config --add channels conda-forge conda install mamba -n base -c conda-forge -y # Use `mamba` in place of `conda` # Install packages mamba install numpy -y # Uninstall packages mamba uninstall numpy -y # Update all packages mamba update --all -y
Demonstrations by The Conda Team indicate that mamba package installs can be up to 6 times faster than conda. If you use conda, you should definitely give mamba a try.
For more information on how to use mamba, refer to the documentation.