nasa/UQPCE

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

Probabilistic modelling and uncertainty quantification library

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

The core Dakota project

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

Uncertainty Quantification in Julia

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Uncertainty quantification with PyTorch

Pure-Python computational science with zero runtime dependencies: linear algebra, ODE/PDE solvers, quadrature, Monte Carlo, statistics, signal processing, quantum simulation, uncertainty quantification, sensitivity analysis, dimensional analysis, and reproducible workflows.