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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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