Kinetic.jl vs myPhysicsLab
Kinetic.jl
xiaotianbai.commyPhysicsLab
myphysicslab.comSide by side
| Figure | Kinetic.jl | myPhysicsLab |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Physics Simulation Software | 7.6 (#48) | 8.8 (#4) |
| Authoring tools | No | Yes |
| Delivery mode | desktop | hybrid |
| Free plan | Yes | Yes |
| Lesson library | No | Yes |
| Offline access | Yes | Yes |
| Purpose | Kinetic is a computational fluid dynamics toolbox written in Julia that combines mechanical and neural network models in a unified framework. | myPhysicsLab provides interactive, real-time animated physics simulations that users can change by dragging objects and adjusting parameters. |
| Support | The documentation invites users to ask questions, open issues, and submit pull requests for questions, suggestions, or solutions. | The author identifies himself as Erik Neumann and provides an email address on the home page; no support plan is listed there. |
| 3D visuals | No | No |
Plans
In their own words
Kinetic.jl
Kinetic.jl has no write-up on Specifiction yet; its figures are above.
myPhysicsLab
myPhysicsLab is a free, open-source project with interactive physics simulations and JavaScript classes for building animated models. Simulations run in real time, and users can drag objects or change parameters such as gravity. Its library includes examples such as pendulums, springs, colliding blocks, roller coasters, billiards, and molecular models. Many simulation pages explain the mathematics behind the models. Users can customize simulations with EasyScript or JavaScript in a browser and text editor, then share a setup through a URL that embeds EasyScript. Numeric results can be retrieved through VarsHistory, JavaScript, or collision-data scripts. Downloadable versions can be used offline. The source code is available on GitHub under the Apache 2.0 License. The simulations do not specify measurement units, so values need to be used consistently within each model. Building from source requires TypeScript, esbuild, Perl, and GNU Make. The project began in 2001, and its maker is based in Seattle, Washington.