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.

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.

bibat

A batteries-included template for Bayesian data analysis projects

bpl

Bayesian models of football leagues

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.

vistan

Library to run VI algorithms on Stan models.

phylostan

Phylogenetic inference using Stan

slimp

Linear models with Stan and Pandas

scikit-stan

No description available

yaps

A surface language for programming Stan models using python syntax