emcee v3
emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC - Published in JOSS (2019)
exoplanet
exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series - Published in JOSS (2021)
PyAutoFit
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)
AutoEmulate
AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)
flowMC
flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX - Published in JOSS (2023)
VIP
VIP: A Python package for high-contrast imaging - Published in JOSS (2023)
fmcmc
fmcmc: A friendly MCMC framework - Published in JOSS (2019)
ParaMonte
ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran - Published in JOSS (2021)
pocoMC
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology - Published in JOSS (2022)
pygtc
pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms) - Published in JOSS (2016)
pymcmcstat
pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis - Published in JOSS (2019)
Maelstrom
Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations - Published in JOSS (2020)
PxMCMC
PxMCMC: A Python package for proximal Markov Chain Monte Carlo - Published in JOSS (2023)
stardate
stardate: Combining dating methods for better stellar ages - Published in JOSS (2019)
Fitting a Gamma-Gompertz survival model to capture-recapture data collected on free-ranging animal populations
Fitting a Gamma-Gompertz survival model to capture-recapture data collected on free-ranging animal populations - Published in JOSS (2018)
pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
anesthetic
anesthetic: nested sampling visualisation - Published in JOSS (2019)
https://github.com/choderalab/openmmtools
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
storage-ring-gravitational-wave-observatory
Simulating the detection of millihertz (mHz) gravitational waves (GWs) from astrophysical sources by a Storage Ring Gravitational-wave Observatory (SRGO).
https://github.com/pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
BayesianTools
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
https://github.com/4ment/physher
A multi-algorithmic framework for phylogenetic inference
https://github.com/cbg-ethz/scicone
Single-cell copy number calling and event history reconstruction.
https://github.com/cbg-ethz/bnpc
Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
https://github.com/anthofflab/robustadaptivemetropolissampler.jl
A Julia implementation of the RAM algorithm (Vihola, 2012)
remiod
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
bvartools
Functions for Bayesian inference of vector autoregressive and vector error correction models
https://github.com/bisaloo/mcmcensemble
R Package Providing Ensemble Sampler for Affine-Invariant MCMC
https://github.com/ahasverus/samplesim
:package: Estimating sample size effects in stable isotope mixing solutions
https://github.com/isms/mcmc-rs
A Rust library implementing various MCMC diagnostics and utilities, such as Gelman Rubin potential scale reduction factor (R hat), effective sample size, chain splitting, and others.
manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
simtost
SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.
alaamee
Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit
rbvfit
A Bayesian Voigt profile fitter. Optimized for absorption line analysis.
https://github.com/chalk-lab/mcmctempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
polymer-stats
Computational statistical mechanics of field-responsive polymer chains
https://github.com/baggepinnen/turing2montecarlomeasurements.jl
Interface between Turing.jl and MonteCarloMeasurements.jl
https://github.com/compevol/sampled-ancestors
This BEAST2 package provides MCMC proposals and post-processing tools for sampling trees containing sampled ancestors
https://github.com/compevol/beast2
Bayesian Evolutionary Analysis by Sampling Trees
speclet
A Bayesian hierarchical model to discover tissue-specific cancer driver genes and synthetic lethal interactions from CRISPR/Cas9 LoF screens.
estimnetdirected
Equilibrium Expectation for ERGM parameter estimation for large networks
https://github.com/bluebrain/emodel-generalisation
Generalisation of electrical models of neurons with MCMC
https://github.com/bonstats/smcdar
Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"
manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'