SciML/GlobalSensitivity.jl

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

MADS: Model Analysis & Decision Support

High level functions for analyzing the output of simulations

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

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

Surrogate modeling and optimization for scientific machine learning (SciML)

High-performance sensitivity analysis for large ordinary differential equation models

workbench for performing exploratory modeling and analysis

Suite of sensitivity analysis tools for OLS