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47 lines (47 loc) · 1.64 KB
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cff-version: 1.2.0
message: "If you use PyDASA in your research, please cite it as below."
title: "PyDASA: Dimensional Analysis for Scientific Applications and Software Architecture"
abstract: "An open-source Python library for dimensional analysis of complex phenomena across physical, chemical, computational, and software domains using the Buckingham Pi theorem."
type: software
authors:
- family-names: "Martin"
given-names: "Felipe"
orcid: "https://orcid.org/0009-0007-5881-3951"
affiliation: "Universidad de los Andes, DISC, Bogotá D.C., Colombia"
email: "sa-artea@uniandes.edu.co"
version: "0.7.0"
date-released: "2026-03-23"
license: "GPL-3.0-or-later"
repository-code: "https://github.com/DASA-Design/PyDASA"
url: "https://pydasa.readthedocs.io"
keywords:
- "dimensional analysis"
- "Buckingham Pi theorem"
- "scientific computing"
- "sensitivity analysis"
- "Monte Carlo simulation"
- "software architecture"
- "python"
references:
- type: book
title: "Dimensionsanalyse: Theorie der physikalischen Dimensionen mit Anwendungen"
authors:
- family-names: "Görtler"
given-names: "Henry"
publisher:
name: "Springer-Verlag"
year: 1975
isbn: "978-3642808739"
notes: "Theoretical foundation for PyDASA's dimensional analysis methods."
- type: article
title: "BuckinghamPy: A Python software for dimensional analysis"
authors:
- family-names: "Karam"
given-names: "Mokbel"
- family-names: "Saad"
given-names: "Tony"
journal: "SoftwareX"
volume: 16
year: 2021
doi: "10.1016/j.softx.2021.100851"
notes: "Inspired the development of PyDASA."