Mesa: Agent-based modeling in Python#

Mesa is an Apache2 licensed agent-based modeling (or ABM) framework in Python.

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based interface; and analyze their results using Python’s data analysis tools. Its goal is to be the Python-based counterpart to NetLogo, Repast, or MASON.

A screenshot of the Schelling Model in Mesa

Above: A Mesa implementation of the Schelling segregation model, being visualized in a browser window and analyzed in a Jupyter notebook.


  • Modular components

  • Browser-based visualization

  • Built-in tools for analysis

Using Mesa#

Getting started quickly:

pip install mesa

To launch an example model, clone the repository folder and invoke mesa runserver for one of the examples/ subdirectories:

mesa runserver examples/wolf_sheep

For more help on using Mesa, check out the following resources:

Contributing back to Mesa#

If you run into an issue, please file a ticket for us to discuss. If possible, follow up with a pull request.

If you would like to add a feature, please reach out via ticket or the email list for discussion. A feature is most likely to be added if you build it!

Mesa Packages#

ABM features users have shared that you may want to use in your model

Indices and tables#