PetIBM vs SimEvents
PetIBM
barbagroup.github.ioSimEvents
mathworks.comSide by side
| Figure | PetIBM | SimEvents |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Physics Simulation Software | 8.0 (#33) | 8.6 (#9) |
| Assessment tools | No | No |
| Authoring tools | No | Yes |
| Delivery mode | desktop | desktop |
| Free plan | Yes | No |
| Lesson library | No | No |
| Parallel computing | It supports distributed-memory architectures, multiple GPUs on one node, and GPU clusters. | SimEvents is eligible for use with Parallel Computing Toolbox and MATLAB Parallel Server, but not MATLAB Compiler or Simulink Compiler. |
| Purpose | PetIBM implements immersed-boundary methods to solve 2D and 3D incompressible Navier–Stokes equations on stretched Cartesian grids using a projection approach. | SimEvents models message based communication in Simulink and other event driven processes using a discrete event simulation engine and component library. |
| Support | The project directs bug reports, feature requests, and questions to its GitHub issue tracker and lists email contacts for questions, suggestions, or feedback. | The product page links to documentation, examples, videos, technical articles, functions, requirements, and release notes. |
Plans
In their own words
PetIBM
PetIBM has no write-up on Specifiction yet; its figures are above.
SimEvents
SimEvents is desktop software for modeling message-based communication and other event-driven processes. It uses a discrete-event simulation engine and component library, and can combine event-based models with Simulink time-based models for large hybrid systems. Blocks represent entity creation and destruction, queues, service times, routing, attributes, and event responses. Resource Pool, Resource Acquirer, and Resource Releaser blocks model resource allocation, while repeated simulations can support optimization. Analysis includes latency, throughput, packet loss, queue lengths, delays, and average service times. Users can simulate and debug models, inspect queue contents, visualize entity activity, and build custom visualization tools. Output statistics aggregate measures, and Sequence Viewer displays messages, events, and entities. MATLAB Discrete Event System and Discrete Event Chart blocks allow custom behavior. Listed applications include communication networks, software and hardware architectures, forecasting, capacity planning, and supply chain management. SimEvents requires MATLAB and Simulink, runs on Windows, Mac, and Linux, and has a 30-day trial with paid licensing.