AgentPy - Agent-based modeling in Python

AgentPy is an open-source library for the development and analysis of agent-based models in Python. The framework integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment, and is optimized for interactive computing with IPython and Jupyter. If you have questions or ideas for improvements, please visit the discussion forum.

Quick orientation

• To get started, please take a look at Installation and Overview.

• For a simple demonstration, check out the Wealth transfer tutorial in the Model Library.

• For a detailled description of all classes and functions, refer to API Reference.

• To learn how agentpy compares with other frameworks, take a look at Comparison.

• If you are interested to contribute to the library, see Contribute.

Table of contents

• Installation
  • Dependencies
  • Development
• Overview
  • Structure
  • Creating models
  • Agent sequences
  • Environments
  • Recording data
  • Running a simulation
  • Interactive simulations
  • Multi-run experiments
  • Random numbers
  • Data analysis
  • Visualization
• User Guides
  • Interactive simulations
  • Randomness and reproducibility
  • Exploratory modelling and analysis (EMA)
• Model Library
  • Wealth transfer
  • Virus spread
  • Flocking behavior
  • Segregation
  • Forest fire
  • Button network
• API Reference
  • Agent-based models
  • Agents
  • Sequences
  • Environments
  • Parameter samples
  • Experiments
  • Data analysis
  • Visualization
  • Examples
  • Other
• Comparison
• Changelog
  • 0.1.2 (June 2021)
  • 0.1.1 (June 2021)
  • 0.1.0 (May 2021)
  • 0.0.7 (March 2021)
  • 0.0.6 (January 2021)
  • 0.0.5 (December 2020)
  • 0.0.4 (November 2020)
• Contribute
  • Types of contributions
  • How to contribute
  • Pull request guidelines
• About

Indices and tables

• Index

• Search Page