Mcmc Python Packages

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

anesthetic

Nested Sampling post-processing and plotting

getdist

MCMC sample analysis, kernel densities, plotting, and GUI

flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in JAX

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 ⚡️

bsts-causalimpact

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

stochopy

Python library for stochastic numerical optimization

pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

gerrychain

Use MCMC to analyze districting plans and gerrymanders

bask

A fully Bayesian implementation of sequential model-based optimization

autoemulate

Emulate simulations easily

inference-tools

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.

emodel-generalisation

Generalisation of neuronal electrical models with MCMC

paramonte

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

bibat

A batteries-included template for Bayesian data analysis projects

autoemcee

Run MCMC automatically to convergence

pygtc

Make a sweet giant triangle confusogram (GTC) plot

mc3

Python MCMC Sampler