Model, simulate, and analyze biochemical systems
sing a single tool.

New modeling textbook (Systems Biology: Introduction to Pathway Modeling)

Tellurium Tutorials YouTube Channel now Available.

Tellurium was updated on September 2016 to version 1.3.5

View source on GitHub.

Ready to install? Please visit the download page.

Go to the News page for update details


Tellurium (te.) is a Python environment based on spyder2 IDE. It combines a number of existing libraries, including libSBMLlibRoadRunner (including libStruct), libAntimony, and is extensible via telPlugins. In addition other tools kits such as matplotlib and NumPy are used to provide additional analysis and plotting support. On Windows, Tellurium comes with pip, so you can easily pip install package whenever you need a third-party package.


Jayit Biswas (Ratelaw database)
Kiri Choi (SEDML/COMBINE bindings, Spyder2 and Windows installer, Docs, Ratelaw database)
Wilbert Copeland (C API, Auto2000 debugging, refactoring libRoadrunner)
Caroline Cannistra (simpleSBML, libRoadRunner RK45, Docs)
Alex Darling (C API docs and testing)
Nasir Elmi (Stochastic test suite compliance)
Michal Galdzicki (Integrated suite, all-in-one installer, test suite);
Stanley Gu (SBML2Matlab and web interface);
Totte Karlsson (telPlugins, C# translation, C API, data fitting and bifurcation analysis);
Kong Matthias (SEDML, debugging, tutorial, libroadrunner, docs and Linux support)
Kyle Medley (Spyder2, Mac, libRoadRunner debugging and development, test suite, online build system, Docs, Network viewer)
Andy Somogyi (libRoadRunner Python API and C++ API, LLVM backend)
Lucian Smith (libAntimony, Python bindings, test suite)
Kaylene Stocking (Better plotting facilities, additional examples, Docs)
Herbert Sauro (PI, tellurium.py, Docs, testing)

Te. relies greatly on open source contributions from:
Frank Bergmann (libStruct, libSEDML);
Mike Hucka,  Sarah Keating (libSBML);
Pierre Raybaut (Spyder2, Winpython)

New contributions are always welcome.

The Tellurium and libRoadRunner project was funded from the NIH/NIGMS (GM081070).

All code is open source. Temporarily there is PyQt4 – GPL licensed code. Licences used include LGPL,  Apache 2, MIT, and New BDS.