PySINDy: A comprehensive Python package for robust sparse system identification

Alan Kaptanoglu, Brian de Silva, Urban Fasel, Kadierdan Kaheman, Andy Goldschmidt, Jared Callaham, Charles Delahunt, Zachary Nicolaou, Kathleen Champion, J. Kutz, Steven Brunton, Jean-Christophe Loiseau

Open source

DOI: 10.21105/joss.03994
Published: 2022-01-29
Container: Journal of Open Source Software
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21105/joss.03994,
  title = {PySINDy: A comprehensive Python package for robust sparse system identification},
  author = {Alan Kaptanoglu and Brian de Silva and Urban Fasel and Kadierdan Kaheman and Andy Goldschmidt and Jared Callaham and Charles Delahunt and Zachary Nicolaou and Kathleen Champion and J. Kutz and Steven Brunton and Jean-Christophe Loiseau},
  year = {2022},
  journal = {Journal of Open Source Software},
  doi = {10.21105/joss.03994},
  url = {https://doi.org/10.21105/joss.03994}
}

RIS

TY  - JOUR
TI  - PySINDy: A comprehensive Python package for robust sparse system identification
AU  - Alan Kaptanoglu
AU  - Brian de Silva
AU  - Urban Fasel
AU  - Kadierdan Kaheman
AU  - Andy Goldschmidt
AU  - Jared Callaham
AU  - Charles Delahunt
AU  - Zachary Nicolaou
AU  - Kathleen Champion
AU  - J. Kutz
AU  - Steven Brunton
AU  - Jean-Christophe Loiseau
PY  - 2022
JO  - Journal of Open Source Software
DO  - 10.21105/joss.03994
UR  - https://doi.org/10.21105/joss.03994
ER  -

APA

Kaptanoglu, A., Silva, B. D., Fasel, U., Kaheman, K., Goldschmidt, A., Callaham, J., Delahunt, C., Nicolaou, Z., Champion, K., Kutz, J., Brunton, S., & Loiseau, J. (2022). PySINDy: A comprehensive Python package for robust sparse system identification. Journal of Open Source Software. https://doi.org/10.21105/joss.03994

Source records

hal · retrieved 2026-09-26T00:48:07.358Z