Forked Agent-based modeling (ABM) in Python 3+
Project description
Fork of the original Mesa project till https://github.com/projectmesa/mesa/pull/944 and/or https://github.com/projectmesa/mesa/issues/943 are soved.
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.
Above: A Mesa implementation of the Schelling segregation model, being visualized in a browser window and analyzed in a Jupyter notebook.
Features
Modular components
Browser-based visualization
Built-in tools for analysis
Example model library
Using Mesa
Getting started quickly:
$ pip install mesa
You can also use pip to install the github version:
$ pip install -e git+https://github.com/projectmesa/mesa#egg=mesa
Take a look at the examples folder for sample models demonstrating Mesa features.
For more help on using Mesa, check out the following resources:
Running Mesa in Docker
You can run Mesa in a Docker container in a few ways.
If you are a Mesa developer, first install docker-compose and then run:
$ docker-compose build --pull
...
$ docker-compose up -d dev # start the docker container
$ docker-compose exec dev bash # enter the docker container that has your current version of Mesa installed at /opt/mesa
$ mesa runserver examples/Schelling # or any other example model in examples
The docker-compose file does two important things:
It binds the docker container’s port 8521 to your host system’s port 8521 so you can interact with the running model as usual by visiting localhost:8521 on your browser
It mounts the mesa root directory (relative to the docker-compose.yml file) into /opt/mesa and runs pip install -e on that directory so your changes to mesa should be reflected in the running container.
If you are a model developer that wants to run Mesa on a model (assuming you are currently in your top-level model directory with the run.py file):
$ docker run --rm -it -p127.0.0.1:8521:8521 -v${PWD}:/code comses/mesa:dev mesa runserver /code
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 dev email list for discussion. A feature is most likely to be added if you build it!
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for Mesa_Adapted-0.8.7.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | be7a34a20fdd615a601efa6d18de6085d98c274941b27b820393a4cd35bcf9d0 |
|
MD5 | b6da04eeb040c0e2d5bcf34a0325ec71 |
|
BLAKE2b-256 | 42f4f2db781884f69729a49103435ba36f403fde77eb7df7bd89184a4807d58e |