myPhysicsLab vs PyTurbo_SF
myPhysicsLab
myphysicslab.comPyTurbo_SF
pyturbo-sf.readthedocs.ioSide by side
| Figure | myPhysicsLab | PyTurbo_SF |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Physics Simulation Software | 8.8 (#4) | 7.6 (#54) |
| Data export | Yes | Yes |
| Delivery mode | hybrid | desktop |
| Free plan | Yes | Yes |
| Integrations | The maker documents sharing simulation URLs by email and customizing simulations with JavaScript; it does not list third-party integrations on the pages reviewed. | Required dependencies include NumPy, xarray, SciPy, pandas, and joblib; optional packages include matplotlib, Dask, Zarr, and netCDF4. |
| Purpose | myPhysicsLab provides interactive, real-time animated physics simulations that users can change by dragging objects and adjusting parameters. | PyTurbo_SF is a Python package for efficient structure-function calculations on 1D, 2D, and 3D data, including turbulent-flow analysis. |
| Security and compliance | The maker's home page and linked documentation reviewed describe the open source license and source repository but make no security or compliance claims. | The documentation pages reviewed do not state security certifications or compliance programs. |
| Support | The author identifies himself as Erik Neumann and provides an email address on the home page; no support plan is listed there. | For installation issues, the guide directs users to GitHub Issues and community discussions. |
Plans
In their own words
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.
PyTurbo_SF
PyTurbo_SF has no write-up on Specifiction yet; its figures are above.