Side by side
FDTDX vs VaMPy
Both stand on physics simulation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxSelf-hosted
FDTDX provides a JAX-based workflow for photonic nanostructure simulation and optimization, with GPU support and GDS-related API functions. Its FAQ warns that the relatively new project may still have bugs.
Visit FDTDX Free plan LinuxMacSelf-hosted+1
VaMPy provides an end-to-end scripted workflow from vascular meshes through simulation and hemodynamic analysis. Its dependency stack and input assumptions matter when preparing an environment or model.
Visit VaMPyThe facts
| FDTDX | VaMPy | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Self-hosted | Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | fdtdx.readthedocs.io | kvslab.github.io |
| On physics simulation software | #21 of 89 | #17 of 89 |
FDTDX: what it does well
- Free for research, development, and commercial use.
- Supports automatic differentiation and gradient-based optimization.
- Offers GPU acceleration and multi-GPU scaling.
- API includes GDS polygon and layer-stack functions.
- Documentation includes Jupyter quickstarts and physics tutorials.
What to know first
- The FAQ notes that bugs may occur.
- Listed platforms are Linux and self-hosted.
- The project describes itself as relatively new.
VaMPy: what it does well
- Free Python package with offline desktop use
- Supports multiple vascular meshing methods
- Includes Oasis and OasisMove CFD cases
- Computes several hemodynamic indices
- Can connect local workflows to HPC
What to know first
- Requires Python and several dependencies
- Windows use points to WSL or Docker
- Input models should use millimeters
- Open, uncapped models are preferred