Monte Carlo Python Packages

dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

pmcx

Monte Carlo eXtreme (MCX) - Physically accurate and validated GPU ray-tracer

pyhepmc

Easy-to-use Python bindings for HepMC3

pmcxcl

Monte Carlo eXtreme for OpenCL (MCXCL)

biosteam

The Biorefinery Simulation and Techno-Economic Analysis Modules

pmmc

Python bindings for Mesh-based Monte Carlo (MMC) photon transport simulator

ebisu

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

sde-sim-rs

Powerful and flexible SDE simulation library with Rust-accelerated Monte-Carlo

ultranest

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

mujoco-mojo

A complete MJCF lifecycle and trial orchestration suite for MuJoCo, powered by Pydantic v2.

serpenttools

A suite of parsers designed to make interacting with SERPENT output files simple and flawless

smol

Statistical Mechanics on Lattices

biorefineries

BioSTEAM's Premier Repository for Biorefinery Models and Results

spindry

Low-cost host-guest conformer generation

montepy

MontePy is the most user friendly Python library (API) to read, edit, and write MCNP input files.

modelx

Use Python like a spreadsheet!

owlplanner

Retirement planner with great wisdom

uqpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

finquant

A program for financial portfolio management, analysis and optimisation.

paramonte

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

trnrand

Random number generation for AWS Trainium via NKI

deepbullwhip

Multi-tier supply chain bullwhip effect simulator

pyerrors

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.