This page highlights community projects that involve CmdStanPy. Check them out!

Project templates

Templates are a great way to piggy back on other users’ work, saving you time when you start a new project.

  • bibat A batteries-included template for Bayesian statistical analysis projects.

  • cookiecutter-cmdstanpy-wrapper A cookiecutter template using Stan models in Python packages, including the ability to pre-compile the model as part of the package distribution.


  • Prophet A procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

  • ArviZ A Python package (with a Julia interface) for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics.

  • BridgeStan A project which provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model, including log densities, gradients, Hessians, and constraining and unconstraining transforms.