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Agent-based modeling toolkit

Project description


‘pyabm’ is an agent-based modeling toolkit written to simplify coding and running agent-based models in the Python programming language. pyabm includes tools to output model results (as text files, plots or ESRI shapefiles), and has a parameter handling system to ease the process of model testing and validation, and of running multiple scenarios with varying model parameters.

The toolkit was constructed by Alex Zvoleff as part of his dissertation research at San Diego State University (SDSU) in the Department of Geography. Contact Alex Zvoleff or Prof. Li An at SDSU with any questions.

pyabm is still a work in progress - while the toolkit is functional in its present form, changes that will be made in the near future may not be backward compatible with existing code. Contact Alex Zvoleff or see the pyabm website for more details. A Python 3 compatible version of pyabm is in the works, and should be released by summer 2013.

See the pyabm website for more information, past releases, publications, and recent presentations.

Getting the Code

Stable releases of pyabm are available from the Python Package Index (PyPI).

The latest version of the code (unstable) is available as a zipped snapshot from Github.

You can also browse the source at GitHub.

The source can also be downloaded via git from:


Author Contact Information

Alex Zvoleff
SDSU/UCSB Joint Doctoral Candidate
Department of Geography
San Diego State University
5500 Campanile Dr.
San Diego, CA 92182-4493

Project details

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