libSBML Python API  5.18.0
Sarah Keating, Frank Bergmann, Ben Bornstein, Akiya Jouraku and Lucian Smith designed and wrote most of the software, with contributions from Gordon Ball, Bill Denney, Christoph Flamm, Akira Funahashi, Ralph Gauges, Martin Ginkel, Alex Gutteridge, Stefan Hoops, Michael Hucka, Totte Karlsson, Moriyoshi Koizumi, Ben Kovitz, Rainer Machné, Nicolas Rodriguez, and many others in the SBML community.

LibSBML is an open-source library for writing and manipulating the Systems Biology Markup Language (SBML). This version of libSBML supports all releases of SBML up through Level 3 Version 2 Core Release 2. For more information about SBML, please visit on the Internet.

The libSBML Python library makes much of this API documentation accessible using the Python interactive help system. As an example, try typing help(SBMLDocument) to a Python interpreter (after having imported the libsbml library).

Please note: article citations are crucial to our academic careers. If you use libSBML and you publish papers about your software, we ask that you please cite the libSBML paper:

Bornstein, B. J., Keating, S. M., Jouraku, A., and Hucka, M. (2008) LibSBML: An API Library for SBML. Bioinformatics, 24(6):880-881.
This and other projects of the SBML Team have been supported by the following organizations: the National Institutes of Health (USA) under grants R01 GM070923 and R01 GM077671; the International Joint Research Program of NEDO (Japan); the JST ERATO-SORST Program (Japan); the Japanese Ministry of Agriculture; the Japanese Ministry of Education, Culture, Sports, Science and Technology; the BBSRC e-Science Initiative (UK); the DARPA IPTO Bio-Computation Program (USA); the Army Research Office's Institute for Collaborative Biotechnologies (USA); the Air Force Office of Scientific Research (USA); the California Institute of Technology (USA); the University of Hertfordshire (UK); the Molecular Sciences Institute (USA); the Systems Biology Institute (Japan); and Keio University (Japan).

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