komplexm

komplexm is a cross-disciplinary framework for modeling, simulating, and analyzing complex systems and networks. It provides a modular environment to describe entities, interactions, and dynamics across multiple scales, from local agent behavior to global system outcomes.

The project is an open-source initiative developed by a global community of researchers and developers. The name combines references to complexity and modular design, signaling its focus on constructing multi-layer representations of real-world processes. It is meant to serve both research and educational purposes.

The architecture comprises a core simulation engine capable of supporting discrete-event and agent-based execution, a graph-based network layer, an agent rule layer, and data adapters that connect to CSV, JSON, databases, and streaming sources. A scripting interface in Python and JavaScript enables model customization, while a built-in visualization component supports interactive exploration of results. The framework emphasizes interoperability, allowing models to be composed from prebuilt components and to export results in standard formats.

Typical use cases span academic research and teaching across ecology, epidemiology, economics, social sciences, and supply-chain analysis. Researchers employ komplexm to study emergent phenomena, multi-scale feedbacks, and network effects, while educators use it to demonstrate core concepts of complex systems.

Reception highlights its flexibility and extensibility, along with concerns about a steep learning curve and uneven official documentation. The project maintains a community-driven approach with forums, issue trackers, and contribution guidelines to support ongoing development.

Related topics include agent-based modeling, complex systems, and network science.