SimEvents vs U-DaLES
SimEvents
mathworks.comU-DaLES
udales.github.ioSide by side
| Figure | SimEvents | U-DaLES |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 0 |
| Spec score · Physics Simulation Software | 8.6 (#9) | 7.4 (#65) |
| Assessment tools | No | No |
| Delivery mode | desktop | desktop |
| Free plan | No | Yes |
| Lesson library | No | No |
| Parallel computing | SimEvents is eligible for use with Parallel Computing Toolbox and MATLAB Parallel Server, but not MATLAB Compiler or Simulink Compiler. | The model uses MPI with a 2-D pencil domain decomposition and is described as scaling to large domains and core counts on HPC systems. |
| Purpose | SimEvents models message based communication in Simulink and other event driven processes using a discrete event simulation engine and component library. | uDALES is an open-source large-eddy simulation model for urban microclimate, airflow, heat, moisture, and pollutant transport. |
| Support | The product page links to documentation, examples, videos, technical articles, functions, requirements, and release notes. | The project asks users to report issues or unexpected behavior with the new Python package through the uDALES GitHub issue tracker. |
| Supported systems | MathWorks lists Windows, Mac, and Linux as supported platforms. | The model is supported on Linux, macOS, and Windows Subsystem for Linux, and the documentation also provides HPC build instructions. |
| 3D visuals | No | Yes |
Plans
In their own words
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.