hübriidPetri

hübriidPetri is a digital platform designed to facilitate the creation, sharing, and collaboration on hybrid Petri nets—a formal modeling language used in systems engineering, computer science, and process automation. Petri nets are graphical tools for modeling discrete distributed systems, particularly those exhibiting concurrent, asynchronous, nondeterministic, or stochastic behavior. The "hybrid" aspect of hübriidPetri integrates continuous and discrete dynamics, enabling the modeling of systems that combine both continuous-time processes (e.g., chemical reactions, physical systems) and discrete events (e.g., logical transitions, communication protocols).

The platform allows users to design and simulate hybrid Petri nets through an intuitive interface, supporting both visual modeling and mathematical formalization. Key features include tools for defining places, transitions, arcs, and timers, as well as mechanisms for specifying continuous variables and their interactions with discrete components. Users can also integrate external data sources, such as sensors or APIs, to create more realistic simulations. Collaboration is streamlined via cloud-based sharing, version control, and real-time co-editing, making it suitable for team-based projects in academia, industry, or research.

hübriidPetri supports a range of applications, including process optimization in manufacturing, biological pathway modeling, cyber-physical system design, and workflow automation. The platform is compatible with standard Petri net tools and can export models in formats like XML or PNML for interoperability. While primarily targeted at engineers, researchers, and developers, its user-friendly design also caters to beginners exploring discrete-event and hybrid systems.

The project emphasizes open-source principles, with active community contributions shaping its development. Documentation, tutorials, and a growing library of example models are available to assist users in leveraging the platform’s capabilities. As hybrid systems continue to gain importance in fields like robotics, healthcare, and IoT, hübriidPetri aims to provide a scalable and accessible solution for modeling complex, dynamic behaviors.