CITATIONS.rst

How to cite SAlib

If you would like to use our software, please cite it using the following:

Herman, J. and Usher, W. (2017) SALib: An open-source Python library for sensitivity analysis. Journal of Open Source Software, 2(9). doi:10.21105/joss.00097

If you use BibTeX, cite using the following entry:

@article{Herman2017,
    doi = {10.21105/joss.00097},
    url = {https://doi.org/10.21105/joss.00097},
    year  = {2017},
    month = {jan},
    publisher = {The Open Journal},
    volume = {2},
    number = {9},
    author = {Jon Herman and Will Usher},
    title = {{SALib}: An open-source Python library for Sensitivity Analysis},
    journal = {The Journal of Open Source Software}
}

Projects that use SALib

Many projects now use the Global Sensitivity Analysis features provided by SALib. Here is a selection:

Software

• The City Energy Analyst
• pynoddy
• savvy
• rhodium
• pySur
• EMA workbench
• Brain/Circulation Model Developer
• DAE Tools
• agentpy
• uncertainpy
• CLIMADA

Blogs

• Sensitivity Analyis in Python
• Sensitivity Analysis with SALib
• Running Sobol using SALib
• Extensions of SALib for more complex sensitivity analyses

Videos

• PyData Presentation on SALib

If you would like to be added to this list, please submit a pull request, or create an issue.

Many thanks for using SALib.