Speed up conda installs with mamba
Tingfeng 2 min read January 03, 2023 [Python] #anaconda #conda #mambaConda 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
# 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
# Use `mamba` in place of `conda`
# Install packages
# Uninstall packages
# Update all packages
Performance
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.
More information
For more information on how to use mamba, refer to the documentation.