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pymc

Bayesian Modeling and Probabilistic Programming in Python

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

pymc3

Bayesian Modeling and Probabilistic Programming in Python

autofit

PyAutoFit: Classy Probabilistic Programming

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

anesthetic

Nested Sampling post-processing and plotting

aemcmc-nightly

AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

zeus-mcmc

⚡️ zeus: Lightning Fast MCMC ⚡️

stochopy

Python library for stochastic numerical optimization

flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in JAX

bsts-causalimpact

Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow

paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

inference-tools

A collection of python tools for Bayesian data analysis

vip-hci

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

gerrychain

Use MCMC to analyze districting plans and gerrymanders

pocomc

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

bask

A fully Bayesian implementation of sequential model-based optimization

pygtc

Make a sweet giant triangle confusogram (GTC) plot

pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

bibat

A batteries-included template for Bayesian data analysis projects

mc3

Multi-core Markov-chain Monte Carlo package

emodel-generalisation

Generalisation of electrical models of neurons with MCMC

autoemulate

Emulate simulations easily