ABSESpy: Agent-Based Social-ecological systems Modelling Framework in Python

ABSESpy is a novel agent-based modeling (ABM) framework that facilitates socio-ecological systems (SES) research. It serves as an extension package of Mesa, the most popular ABM framework, and further enhances agents’ interactions with other components, especially grid-like spaces. With a configuration file for managing parameters and an improved data Input/Output system, ABSESpy’s modularity and low-coupling design enable elegant maintenance of large modeling projects. In addition, ABSESpy includes a schedule that aligns models’ tick with the calendar time. These innovations position ABSESpy as a valuable tool in fostering more ABMs for real-world SES issues. Its ultimate aim is to become the go-to choice for ABM when working with a human-involved changing world.

Features

• 🌍 Modeling social-ecological system with geo-data.

• 🤖 Managing and manipulating agents with ease of cake.

• 🕙 Make your model coherent with real-world time.

• 📁 Handling complex models with a configuration file.

• 🙋 and more…