Installation Guide (MacOS)

PyMC Installation on MacOS

We recommend using Anaconda (or Miniforge) to install Python on MacOS, which allows for packages to be installed using its conda utility.

conda create -c conda-forge -n pymc_env "pymc>=4.0"
conda activate pymc_env

If you like, replace the name pymc_env with whatever environment name you prefer.

JAX sampling

If you wish to enable sampling using the JAX backend via NumPyro (experimental), the following should also be installed:

pip install jax jaxlib numpyro

Similarly, to use BlackJAX for sampling it should be installed via pip:

pip install blackjax

PyMC v3 installation

If you are looking for PyMC3, then replace the above with

conda create -c conda-forge -n pymc3_env pymc3
conda activate pymc3_env

For older (Intel) Macs, you can should also install the Intel Math Kernel Library (MKL) for improved speed:

conda create -c conda-forge -n pymc3_env python pymc3 theano-pymc mkl mkl-service
conda activate pymc3_env

Note that you must specifically request theano-pymc or you will get an obsolete version of PyMC3 that works with the now-abandoned theano library. We encourage you to test this with the --dry-run flag to ensure you get up-to-date versions.