Installing pre-built binaries with conda (Mac OSX, Linux, and Windows)

By far the simplest and recommended way to install climlab is using conda (which is the wonderful package manager that comes with Anaconda Python).

You can install CLIMLAB and all its dependencies with:

conda install -c conda-forge climlab

Or (recommended) add conda-forge to your conda channels with:

conda config --add channels conda-forge

and then simply do:

conda install climlab

Binaries are available for OSX, Linux, and Windows.

Installing into a self-contained conda environment

To avoid issues with package conflicts, it’s often best to work in self-contained environments. This example installs climlab and jupyter along with all their dependencies in a fresh environment:

conda create --name climlab-test --channel conda-forge climlab jupyter
conda activate climlab-test

Installing on Google Colab

The following code will install climlab and its dependencies on Google Colab:

!pip install -q condacolab
import condacolab
!conda install -c conda-forge climlab

Installing from source

You can clone the source code repository with:

git clone

and from the climlab directory, do:

python -m pip install . --no-deps -vv

Please see Contributing to CLIMLAB for more details.

About the compiled Fortran components

Climlab itself is pure Python and should work on any system. As of version 0.8.0, all the Fortran code has been moved into external companion packages climlab-rrtmg, climlab-cam3-radiation, and climlab-emanuel-convection.

If you install climlab via conda-forge, these pre-compiled dependencies will be installed automatically.

It is possible to install and run climlab without the compiled dependencies. In this case you should then find that you can still:

import climlab

and use most of the package. You will see warning messages about the missing components.

Source Code

Stables releases as well as the current development version can be found on github:


These are handled automatically if you install with conda.


  • Python (currently testing on versions 3.8, 3.9, 3.10, 3.11)

  • numpy

  • scipy

  • future

  • pooch (for remote data access and caching)

  • xarray (for data handling)

climlab will still run on Python 2.7 on some systems but we are no longer supporting this