A curated list of resources for studying complex systems science, covering concepts, models, software, and literature.
Awesome Complexity is a curated GitHub repository listing essential resources for the study of complex systems science. It aggregates links to key concepts, scientific journals, software tools, computational models, books, and communities focused on systems with interacting parts and emergent properties. The project acts as a structured entry point for anyone exploring this interdisciplinary field.
Researchers, academics, students, and enthusiasts in fields like systems biology, network science, computational social science, or anyone studying emergent phenomena and agent-based modeling.
It saves significant time by vetting and organizing scattered resources into a single, community-maintained list, following the trusted "awesome list" format. Unlike generic searches, it provides focused, high-quality references specifically for complex systems science.
An awesome list of complex systems science resources
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Curates high-quality links across concepts, journals, software, and communities, serving as a one-stop reference that saves researchers time from scattered searches.
Clearly documents key models like Boids and Cellular Automata with links to implementations, aiding in understanding and replicating simulations.
Includes books and interactive websites such as Complexity Explorer, supporting self-directed learning with vetted materials.
Connects users to societies like the Complex Systems Society and Slack groups, facilitating collaboration and staying updated with the field.
As a curated list, it lacks interactive examples, real-time updates, or deep dives, making it less engaging for hands-on learners.
Provides only links with minimal explanation; users must navigate external resources for detailed information, which can be time-consuming.
Awesome lists rely on community maintenance; if not updated regularly, links may break or miss new developments in the fast-evolving field.