
Project 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 provide an ecosystem to support generative science approaches, improve understanding of complex systems and aid practical decision-making.
GSoC Participation History
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Past Projects
Evaluating and Enhancing Mesa's Behavioral Framework Support
This project creates a strong, production-ready Behavioral Framework for Mesa by addressing the limits of hardcoded agent logic. Using iterative...
Hypergraph-Based Meta-Agents for Mesa
This proposal aims to design and implement a canonical meta-agent architecture for Mesa. The project addresses the current gap between Mesa’s...
Modernizing Mesa-Geo: PropertyLayer Refactor, Cell/Agent Decoupling & Visualization Overhaul
Mesa-Geo currently suffers from three structural problems that make it impractical at realistic geographic scale: a memory bottleneck from...
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Project Mesa | GSoC Org Profile & Stats - Learn about Project Mesa's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.
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