OpenFOAM vs PyTurbo_SF
OpenFOAM
openfoam.comPyTurbo_SF
pyturbo-sf.readthedocs.ioSide by side
| Figure | OpenFOAM | PyTurbo_SF |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Physics Simulation Software | 8.7 (#5) | 7.6 (#54) |
| Data export | Yes | Yes |
| Delivery mode | desktop | desktop |
| Free plan | Yes | Yes |
| Purpose | OpenFOAM is an open-source computational fluid dynamics toolbox for simulating fluid flow, heat transfer, and related physical processes. | PyTurbo_SF is a Python package for efficient structure-function calculations on 1D, 2D, and 3D data, including turbulent-flow analysis. |
| Support | OpenCFD offers a one-year support package covering installation, bug fixes, updates, CFD assistance, and code customisation, with a maximum number of service hours per year. | For installation issues, the guide directs users to GitHub Issues and community discussions. |
Plans
In their own words
OpenFOAM
OpenFOAM is a free, open-source computational fluid dynamics toolbox for simulating fluid flow, heat transfer, and related physical processes. It provides pre-processing, mesh generation, solvers for different flow and physics problems, and post-processing tools. Built-in utilities include blockMesh and snappyHexMesh, and it can convert meshes from external formats. ParaView visualization is supported through the paraFoam launcher, reader modules, VTK conversion, and VTK output during simulations. OpenFOAM runs on Linux, macOS, and Windows, and supports self-hosted use. Its current release is v2606, released on 26 June 2026; GPU offloading is available as a compile-time option, with that work on a separate development track. It is distributed under the GNU General Public Licence. OpenCFD offers a one-year support package for installation, fixes, updates, CFD assistance, and code customization, subject to a yearly service-hours maximum. It does not respond to support queries without a prior package. Training courses are also offered, with prices provided through a schedule or enquiry process.
PyTurbo_SF
PyTurbo_SF has no write-up on Specifiction yet; its figures are above.