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.

analytic-prophet

Stan-free Prophet forecasting model using an analytical gradient instead of AutoDiff: faster and lighter on memory.

bibat

A batteries-included template for Bayesian data analysis projects

pirao

pirão — Probabilistic Inference for Reliability Analysis from Observed data: Bayesian reliability with Stan, sibling of farofa and faultree

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.

walnutpie

Within-orbit Adaptive Leapfrog No-U-Turn Sampler

bpl

Bayesian models of football leagues

gptools-stan

Gaussian processes on graphs and lattices in Stan.

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

A simple library to run variational inference on Stan models.

slimp

Linear models with Stan and Pandas

yaps

A surface language for programming Stan models using python syntax

phylostan

Phylogenetic inference using Stan

scikit-stan

A sklearn style interface to Stan regression models