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

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

Uncertainty propagation and global sensitivity analysis for computational economic models

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.

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

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

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

A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".