AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook Submitted 03 December 2024 • Published 24 March 2025
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Review

Editor: @crvernon (all papers)
Reviewers: @willu47 (all reviews), @lbl59 (all reviews)

Authors

Martin A. Stoffel (0000-0003-4030-3543), Bryan M. Li (0000-0003-3144-4838), Kalle Westerling (0000-0002-2014-332X), Sophie Arana (0000-0001-9708-7058), Max Balmus (0000-0002-6003-0178), Eric Daub (0000-0002-8499-0720), Steve Niederer (0000-0002-4612-6982)

Citation

Stoffel et al., (2025). AutoEmulate: A Python package for semi-automated emulation. Journal of Open Source Software, 10(107), 7626, https://doi.org/10.21105/joss.07626

@article{Stoffel2025, doi = {10.21105/joss.07626}, url = {https://doi.org/10.21105/joss.07626}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {107}, pages = {7626}, author = {Martin A. Stoffel and Bryan M. Li and Kalle Westerling and Sophie Arana and Max Balmus and Eric Daub and Steve Niederer}, title = {AutoEmulate: A Python package for semi-automated emulation}, journal = {Journal of Open Source Software} }
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Surrogate modelling Emulation Simulation Machine Learning Gaussian Processes Neural Processes

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066