Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
scikit-mobility: mobility analysis in Python
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Cellular Automata Accelerated in JAX (Oral at ICLR 2025)
Comparative analysis of pairwise interactions in multivariate time series.
A library for working with Cellular Automata, for Python.
GIS Extension for Mesa Agent-Based Modeling
A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations.
Python package for early warning signals (EWS) of critical transitions in time series data.
Automata on arbitrary networks, with Python
Symbolic Generators for Complex Networks
reference implementation of the copan:CORE World-Earth modelling framework
Extension of mesa for performance and scalability
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Biologically Inspired Architectures for EpiAgentic Control
A Graph Neural Network library for real-life energy networks.
Code and data for mathematical and network-science analysis of structural complexity in the United States Code.
Small world networks in Cellular Automata
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