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

Public facing deeplift repo

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

Chaospy - Toolbox for performing uncertainty quantification.

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

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

SecretScraper is a web scraper that crawl through target websites, scrape from http response and extract secret information via regular expression.

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method

A library for SEC data extraction, equity valuation, discovery of mispriced stocks

Sensitivity analysis using simulation decomposition

Modular framework for optimization with semi-automatic derivatives

Greenbox: Excel-based Monte Carlo three-point sensitivity analysis

Metamodeling, sensitivity analysis and visualization using the tensor train format

Python script for automated running of the TRNSYS simulations

Nonlinear Progamming with CasADi

Extend scipy.integrate with various methods for solve_ivp

Global Sensitivity reporting for Explainable AI