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License

pykurucz is released under the MIT License, a permissive open-source license that allows broad reuse, modification, and distribution.

MIT License

MIT License

Copyright (c) 2025 Elliot M. Kim and Yuan-Sen Ting

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

What This Means

  • Commercial use — You may use pykurucz in commercial projects.
  • Modification — You may fork and modify the code.
  • Distribution — You may redistribute pykurucz, including in larger works.
  • Private use — You may use pykurucz for private research without restriction.
  • Attribution — You must include the copyright notice and license text in any redistribution.

No warranty

The MIT License provides the software "as is" without warranty. While we strive for scientific accuracy, users are responsible for validating results for their specific applications.

Data Licenses

The large binary data files (line lists, molecular catalogs) are redistributed under the same terms as the original Kurucz data: they are freely available for scientific use. Please cite the original data sources (e.g., Kurucz 2011 for GFALL, Schwenke 1998 for TiO, Partridge & Schwenke 1997 for H₂O) when publishing results derived from them.

Next Steps

  • See Citation for the recommended academic citations.
  • Read Acknowledgements for the community contributions behind the project.