eggzec/mcerp

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

A Python package for Monte Carlo sampling.

Probabilistic modelling and uncertainty quantification library

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

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

Use Python like a spreadsheet!

Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open-source, python-based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a non-intrusive polynomial chaos expansion surrogate modeling technique to efficiently estimate uncertainties for computational analyses.

Python Structural Reliability Analysis

workbench for performing exploratory modeling and analysis