PySPOD
The facts below are what the maker publishes about PySPOD, checked and dated. Our editors have not written about it yet.
Plans and prices
From PySPOD's own pricing page, checked 12 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| PySPOD | Free | MIT-licensed Python package · MPI required for parallel capabilities; serial use works without MPI |
The facts
Each one read from PySPOD's own pages, with the date it was checked.
What it does
- Algorithms
- It implements batch and streaming SPOD algorithms in parallel and distributed forms through mpi4py.checked 12 Oct 2026
- Analysis tools
- Documented utilities include plotting data and modes, inspecting eigenvalues, calculating coefficients, and reconstructing data.checked 12 Oct 2026
- Coefficients and reconstruction
- The package calculates time coefficients and reconstructs data from modes and coefficients.checked 12 Oct 2026
- Data import formats
- NumPy arrayschecked 23 Sep 2026
- Data requirement
- The project says SPOD can be applied to wide-sense stationary data, including examples from fluid mechanics, weather, and climate.checked 12 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- Forecasting
- The library includes a package for forecasting time coefficients with neural networks.checked 12 Oct 2026
- Installation
- The repository instructs users to download the library and run python3 setup.py install from its top directory.checked 12 Oct 2026
- Integrations
- The documented parallel interface uses mpi4py and MPI distributions such as Open MPI or Mpich.checked 12 Oct 2026
- Intended users
- The project presents the package for scientific analysis of wide-sense stationary data, with examples in fluid dynamics and geophysics.checked 12 Oct 2026
- License
- The repository identifies the license as MIT.checked 12 Oct 2026
- Parallel execution
- Parallel capabilities require an installed MPI distribution; the repository says Open MPI and Mpich have been tested, and serial use works without MPI.checked 12 Oct 2026
- Purpose
- PySPOD is a Python package for spectral proper orthogonal decomposition (SPOD).checked 12 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
- Security and compliance
- The documentation says the package uses GitHub Actions for continuous integration.checked 12 Oct 2026
- Support
- The maintainers invite questions about PySPOD and contributions by email at [email protected].checked 12 Oct 2026
- Tutorials
- The project provides Jupyter notebook and plain Python tutorials, including examples using turbulent jet pressure and climate reanalysis data.checked 12 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
