pyJac

pyJac is a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices, customized for a particular model/reaction mechanism.

pyJac welcomes your feedback and/or contributions. It relies heavily on the numpy libraries for core functionality, and other libraries including the Cython language and Cantera for functional and performance testing.

Documentation

• Overview
• FAQs
• Examples
• Installation
• pyJac API

Indices and tables

• Index
• Module Index
• Search Page

Citation

Up-to-date information about citing pyJac can be found within the CITATION.md file.

See also

• The published pyJac v1 paper
• Kyle Niemeyer, Nick Curtis, and Chih-Jen Sung’s WSSCI Fall 2015 paper introducing
• The associated WSSCI Fall 2015 slides

Get in touch

• Please report bugs, suggest feature ideas, and browse the source code on GitHub.
• There, new contributors can also find a guide to contributing.
• Additionally, you may join our user group for further support and to be notified of new releases, features, etc.
• You can also contact Kyle on Twitter.

License

pyJac is available under the open-source MIT License.