SALib - Sensitivity Analysis Library in Python# Python implementations of commonly used sensitivity analysis methods, including Sobol, Morris, and FAST methods. Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest.

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

Aug 19, 2024 · Tools for global sensitivity analysis. Contains Sobol', Morris, FAST, DGSM, PAWN, HDMR, Moment Independent and fractional factorial methods. Python …

What is SALib? SALib is an open source library written in Python for performing sensitivity analyses. SALib provides a decoupled workflow, meaning it does not directly interface with the mathematical or computational model.

SALib provides a single interface from which all methods can be accessed. The interface is called the ProblemSpec (the Problem Specification). One advantage to the interface is the method chaining approach which offers a concise workflow.

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SALib exposes a range of global sensitivity analysis techniques to the scientist, researcher and modeller, making it very easy to easily implement the range of techniques into typical modelling workflows.

SALibDocumentation,Release1.5.2.dev13+gac5b421.d20250106 Pythonimplementationsofcommonlyusedsensitivityanalysismethods,includingSobol,Morris,andFASTmethods.

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Installing SALib# To install the latest stable version of SALib via pip from PyPI . together with all the dependencies, run the following command: pip install SALib