Agent-based modeling in Python
Project description
Agentpy - Agent-based modeling in Python
Agentpy is an open-source framework for the development and analysis of agent-based models in Python. This project is still in an early stage of development. If you have feedback, need help, or want to contribute, please write to joel.foramitti@uab.cat.
Main features:
- Design of agent-based models with complex procedures.
- Creation of custom agent types, environments, and networks.
- Agent lists that can forward attribute calls and select agent groups.
- Experiments with repeated iterations, parameter samples, and distinct scenarios.
- Output data that can be saved, loaded, and re-arranged for further analysis.
- Tools for sensitivity analysis, interactive output, animations, and plots.
- Compatibility with NumPy, pandas, matplotlib, seaborn, networkx, and SALib.
Documentation: https://agentpy.readthedocs.io
Model library: https://agentpy.readthedocs.io/en/latest/model_library.html
Requirements: Python 3.6+, NumPy, scipy, matplotlib, networkx, pandas, SALib, ipywidgets.
Installation: pip install agentpy
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