Mesa: Agent-based modeling in Python 3+
Project description
Mesa: Agent-based modeling in Python 3+
=========================================
.. image:: https://api.travis-ci.org/projectmesa/mesa.svg
:target: https://travis-ci.org/projectmesa/mesa
.. image:: https://coveralls.io/repos/projectmesa/mesa/badge.svg
:target: https://coveralls.io/r/projectmesa/mesa
`Mesa`_ is an Apache2 licensed agent-based modeling (or ABM) framework in Python.
It 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 3-based alternative to NetLogo, Repast, or MASON.
.. image:: https://cloud.githubusercontent.com/assets/166734/8611697/ce61ad08-268a-11e5-880b-4776dd738e0e.png
:width: 100%
:scale: 100%
:alt: 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 an IPython
notebook.*
.. _`Mesa` : https://github.com/projectmesa/mesa/
Features
------------
* Modular components
* Browser-based visualization
* Built-in tools for analysis
Using Mesa
------------
Getting started quickly:
.. code-block:: bash
$ pip install mesa
For more help on using Mesa, check out the following resources:
* `Intro to Mesa Tutorial`_
* `Docs`_
* `Email list`_
* `PyPI`_
.. _`Intro to Mesa Tutorial` : http://mesa.readthedocs.org/en/latest/intro-tutorial.html
.. _`Docs` : http://mesa.readthedocs.org/en/latest/
.. _`Email list` : https://groups.google.com/d/forum/projectmesa
.. _`PyPI` : https://pypi.python.org/pypi/Mesa/
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!
* `Contributors guide`_
* `Github`_
.. _`ticket` : https://github.com/projectmesa/mesa/issues
.. _`email list` : https://groups.google.com/d/forum/projectmesa
.. _`Contributors guide` : https://github.com/projectmesa/mesa/blob/master/CONTRIBUTING.rst
.. _`Github` : https://github.com/projectmesa/mesa/
=========================================
.. image:: https://api.travis-ci.org/projectmesa/mesa.svg
:target: https://travis-ci.org/projectmesa/mesa
.. image:: https://coveralls.io/repos/projectmesa/mesa/badge.svg
:target: https://coveralls.io/r/projectmesa/mesa
`Mesa`_ is an Apache2 licensed agent-based modeling (or ABM) framework in Python.
It 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 3-based alternative to NetLogo, Repast, or MASON.
.. image:: https://cloud.githubusercontent.com/assets/166734/8611697/ce61ad08-268a-11e5-880b-4776dd738e0e.png
:width: 100%
:scale: 100%
:alt: 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 an IPython
notebook.*
.. _`Mesa` : https://github.com/projectmesa/mesa/
Features
------------
* Modular components
* Browser-based visualization
* Built-in tools for analysis
Using Mesa
------------
Getting started quickly:
.. code-block:: bash
$ pip install mesa
For more help on using Mesa, check out the following resources:
* `Intro to Mesa Tutorial`_
* `Docs`_
* `Email list`_
* `PyPI`_
.. _`Intro to Mesa Tutorial` : http://mesa.readthedocs.org/en/latest/intro-tutorial.html
.. _`Docs` : http://mesa.readthedocs.org/en/latest/
.. _`Email list` : https://groups.google.com/d/forum/projectmesa
.. _`PyPI` : https://pypi.python.org/pypi/Mesa/
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!
* `Contributors guide`_
* `Github`_
.. _`ticket` : https://github.com/projectmesa/mesa/issues
.. _`email list` : https://groups.google.com/d/forum/projectmesa
.. _`Contributors guide` : https://github.com/projectmesa/mesa/blob/master/CONTRIBUTING.rst
.. _`Github` : https://github.com/projectmesa/mesa/
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