Stan Python Packages

stanio

Preparing inputs to and reading outputs from Stan

orbit-ml

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

bridgestan

BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.

bibat

A batteries-included template for Bayesian data analysis projects

brmspy

Python-first access to R’s brms with proper parameter names, ArviZ support, and cmdstanr performance. The easiest way to run brms models from Python.

gptools-stan

Gaussian processes on graphs and lattices in Stan.

bpl

Bayesian models for football leagues

vistan

Library to run VI algorithms on Stan models.

gloria

A modern framework for time series analysis and forecasting, offering everything from simple automated fits to fine-grained parameter control, with native support for diverse data types.

slimp

Linear models with Stan and Pandas

yaps

A surface language for programming Stan models using python syntax

scikit-stan

A sklearn style interface to Stan regression models

phylostan

Phylogenetic inference using Stan