PyMC Bayesian Modeling

Overview

PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using the current API (PyMC ≥ 6 with ArviZ ≥ 1.1), including hierarchical models, MCMC sampling (NUTS), variational inference, and PSIS-LOO model comparison.

uv pip install "pymc[nutpie]" "arviz[matplotlib,h5netcdf]"   # nutpie sampler, plotting backend, NetCDF I/O

PyMC 6 changed several defaults and names that most tutorials still use — read Version notes at the end before reusing PyMC 5 / ArviZ 0.x code.

When to Use This Skill