sbml2cellml: conversion between SBML and CellML

sbml2cellml converts between the Systems Biology Markup Language (SBML) and CellML 2.0, with documentation available from https://matthiaskoenig.github.io/sbml2cellml.

Features include

• conversion of compartments, parameters, species, assignment and rate rules and reactions into a single CellML component
• conversion of CellML models to SBML: parameters with rules, unit definitions, resets as events, imports resolved
• validation of the result with libcellml
• timecourse simulation of the SBML with roadrunner and of the CellML with libopencor, both optional
• the sbml2cellml and cellml2sbml command lines
• the SBML test suite harness: every semantic case through both converters and both simulators, results on the SBML test suite page

pip install sbml2cellml
sbml2cellml model.xml -o model.cellml
cellml2sbml model.cellml -o model.xml

In the SBML to CellML direction units, events and delays are not converted yet, see the conversion issues.

SBML test suite

Every semantic case of the SBML test suite is simulated with roadrunner (reference), converted to CellML (sbml2cellml), simulated with libopencor (libopencor), converted back to SBML (cellml2sbml) and simulated with roadrunner again (roundtrip). The details are on the SBML test suite page.

If you have any questions or issues please open an issue.

How to cite

If you use sbml2cellml please cite the archived software on Zenodo:

König, M. (2026). sbml2cellml: conversion of SBML models to CellML (Version 0.3.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.22838601

@software{konig_sbml2cellml,
  author    = {König, Matthias},
  title     = {sbml2cellml: conversion of SBML models to CellML},
  year      = {2026},
  month     = sep,
  version   = {0.3.0},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.22838601},
  url       = {https://doi.org/10.5281/zenodo.22838601},
}

License

• Source Code: MIT
• Documentation: CC BY-SA 4.0

Funding

Matthias König was supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054) and within ATLAS by grant number 031L0304B, and by the German Research Foundation (DFG) within the Research Unit Program FOR 5151 QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach) by grant number 436883643 and by grant number 465194077 (Priority Programme SPP 2311, Subproject SimLivA).

© 2025-2026 Matthias König