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PySPOD
What PySPOD is
PySPOD is a free, MIT-licensed Python package for spectral proper orthogonal decomposition, or SPOD. It is presented for scientific analysis of wide-sense stationary data, with examples involving fluid mechanics, weather, climate, fluid dynamics, and geophysics. The package accepts NumPy arrays and implements batch and streaming SPOD algorithms in parallel and distributed forms through mpi4py. It calculates time coefficients, reconstructs data from modes and coefficients, and includes forecasting of time coefficients with neural networks. Documented utilities can plot data and modes, inspect eigenvalues, calculate coefficients, and perform reconstruction. PySPOD provides Jupyter notebook and plain Python tutorials, including turbulent jet pressure and climate reanalysis examples. Serial use works without MPI, while parallel capabilities require an installed MPI distribution; Open MPI and Mpich are identified as tested options. Installation instructions use a downloaded library and python3 setup.py install from its top directory. GitHub Actions are used for continuous integration, and maintainers invite questions and contributions by email.
Who it suits
PySPOD suits scientific users analyzing wide-sense stationary data with Python and NumPy arrays. It is aimed at work in areas such as fluid dynamics and geophysics, including users who need MPI-based parallel processing.
What it does well
- Free MIT-licensed package
- Batch and streaming SPOD algorithms
- Coefficient calculation and reconstruction
- Neural-network coefficient forecasting
- Tutorials include climate examples
What to know first
- Parallel use requires MPI
- Serial mode lacks MPI parallelism
- Installation uses setup.py command
- Focused on wide-sense stationary data
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| PySPOD | MIT-licensed Python package · MPI required for parallel capabilities; serial use works without MPI | Free |
As pyspod.readthedocs.io lists them, read 12 Oct 2026. The maker's own page has the final word.
Verdict
PySPOD provides a focused SPOD workflow with analysis, reconstruction, forecasting, tutorials, and serial or MPI execution. It is free to use, but parallel processing depends on an installed MPI distribution.
Facts from PySPOD's own pages
- Algorithms
- It implements batch and streaming SPOD algorithms in parallel and distributed forms through mpi4py. · github.com, 12 Oct 2026
- Analysis tools
- Documented utilities include plotting data and modes, inspecting eigenvalues, calculating coefficients, and reconstructing data. · pyspod.readthedocs.io, 12 Oct 2026
- Coefficients and reconstruction
- The package calculates time coefficients and reconstructs data from modes and coefficients. · github.com, 12 Oct 2026
- Data import formats
- NumPy arrays · pyspod.readthedocs.io, 23 Sept 2026
- Data requirement
- The project says SPOD can be applied to wide-sense stationary data, including examples from fluid mechanics, weather, and climate. · github.com, 12 Oct 2026
- Deployment
- desktop · pyspod.readthedocs.io, 23 Sept 2026
- Forecasting
- The library includes a package for forecasting time coefficients with neural networks. · github.com, 12 Oct 2026
- Free plan
- Yes · pyspod.readthedocs.io, 23 Sept 2026
- Installation
- The repository instructs users to download the library and run python3 setup.py install from its top directory. · github.com, 12 Oct 2026
- Integrations
- The documented parallel interface uses mpi4py and MPI distributions such as Open MPI or Mpich. · github.com, 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. · github.com, 12 Oct 2026
- License
- The repository identifies the license as MIT. · github.com, 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. · github.com, 12 Oct 2026
- Purpose
- PySPOD is a Python package for spectral proper orthogonal decomposition (SPOD). · github.com, 12 Oct 2026
- Scripting support
- Yes · pyspod.readthedocs.io, 23 Sept 2026
- Security and compliance
- The documentation says the package uses GitHub Actions for continuous integration. · pyspod.readthedocs.io, 12 Oct 2026
- Support
- The maintainers invite questions about PySPOD and contributions by email at [email protected]. · github.com, 12 Oct 2026
- Tutorials
- The project provides Jupyter notebook and plain Python tutorials, including examples using turbulent jet pressure and climate reanalysis data. · github.com, 12 Oct 2026
Where PySPOD stands on Freedom251
- Statistical Analysis Software#57 of 106