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

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

VARS-TOOL sensitivity analysis package in Python

snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model

SoBioS is an easy-to-run Matlab code to compute Sobol' indices for biological systems.

Open access PBPK modelling platform

A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".

Tools for efficient global sensitivity analyses for models with correlated input parameters.

A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.

Global sensitivity analysis demo

Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.

Uncertainty propagation and global sensitivity analysis for computational economic models

Correlation, sampling, sensitivity, inference and random linear algebra routines in rust

R code and data required for whaler shark (Carcharhinus brachyurus) harvest model

Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus

Global sensitivity analysis for climate/land-use change co-extinctions analysis

Scripts to perform training of Gaussian Processes Emulators and Global Sensitivity Analysis on models or emulators output.