FluidRay RT vs Mitsuba 3
FluidRay RT
fluidray.comMitsuba 3
mitsuba-renderer.orgSide by side
| Figure | FluidRay RT | Mitsuba 3 |
|---|---|---|
| Price from | $15/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · 3D Rendering Software | 7.9 (#16) | 8.4 (#5) |
| Intended users | The maker highlights architecture, interior design, jewelry design, and product design projects. | The project describes itself as research-oriented and says its Python workflow enables experimentation in computer graphics and other disciplines. |
| Learning resources | The help page offers tutorials for the interface, assets, SketchUp, Rhino, architecture, interiors, jewelry, and animation. | The documentation provides tutorials, notebooks, how-to guides, and API and plugin references. |
Plans
In their own words
FluidRay RT
FluidRay RT has no write-up on Specifiction yet; its figures are above.
Mitsuba 3
Mitsuba 3 is a free, open-source, research-oriented system for forward and inverse light-transport simulation. It offers monochrome, RGB, and spectral rendering with optional polarization tracking, and computes derivatives with respect to camera pose, geometry, materials, textures, and volumes. Dr.Jit compiles rendering code for CPUs through LLVM and NVIDIA GPUs through CUDA and OptiX. Python integration supports development of materials, textures, and rendering algorithms, with documentation covering PyTorch interoperability. Installation is recommended through pip and requires Python 3.10 or later. Optional GPU computation requires NVIDIA driver 535 or later; parallel CPU computation optionally requires LLVM 18 or later. The project reports Linux x86_64, macOS aarch64 and x86_64, and Windows x86_64 support. Its plugins cover materials, light sources, and complete rendering algorithms. The Python package includes thirteen variants by default; more require compiling a custom Dr.Jit version with CMake. Tutorials, notebooks, how-to guides, and API and plugin references are provided.