Mcmc Python Packages

pymc

Bayesian Modeling and Probabilistic Programming in Python

numpyro

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

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

pymc3

Bayesian Modeling and Probabilistic Programming in Python

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

autofit

PyAutoFit: Classy Probabilistic Programming

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 ⚡️

gerrychain

Use MCMC to analyze districting plans and gerrymanders

bsts-causalimpact

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

rustmc

Bayesian models in Python. Inference in Rust.

inference-tools

Python tools for Bayesian data analysis

pocomc

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

aehmc

An HMC/NUTS implementation in Aesara

mc3

Python MCMC Sampler

paramonte

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

bask

A fully Bayesian implementation of sequential model-based optimization

stochopy

Python library for stochastic numerical optimization

autoemulate

Emulate simulations easily

vip-hci

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

bibat

A batteries-included template for Bayesian data analysis projects

cobaya-utilities

A set of tools to deal with cobaya MCMC

pirao

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