PyTurbo_SF
pyturbo-sf.readthedocs.io
Spec sheet
- Purpose
- PyTurbo_SF is a Python package for efficient structure-function calculations on 1D, 2D, and 3D data, including turbulent-flow analysis.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Free plan
- YesRead 23 Sep 2026 · github.com
- Integrations
- Required dependencies include NumPy, xarray, SciPy, pandas, and joblib; optional packages include matplotlib, Dask, Zarr, and netCDF4.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Support
- For installation issues, the guide directs users to GitHub Issues and community discussions.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Data export
- YesRead 23 Sep 2026 · github.com
- Delivery mode
- desktopRead 23 Sep 2026 · github.com
- Input and results
- The example workflow accepts xarray Datasets and returns structure-function results as xarray Datasets.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Installation
- The package can be installed with pip from PyPI or installed from its GitHub source repository.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Isotropic analysis
- It provides isotropic averaging for 2D and 3D data.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Large-data considerations
- The guide recommends tuning bootstrap block sizes and suggests Dask for datasets larger than available memory.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Parallel processing
- The quick start demonstrates loky and threading backends, and the guide also lists multiprocessing as an option.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Python requirement
- The installation guide states that Python 3.12 or higher is required.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Security and compliance
- The documentation pages reviewed do not state security certifications or compliance programs.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Structure-function types
- It supports longitudinal, transverse, scalar, and combined structure functions.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Target users
- The documentation describes use by researchers in oceanography, atmospheric science, and fluid dynamics analyzing observational data and simulations.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
- Uncertainty analysis
- It uses adaptive bootstrap resampling to provide statistical uncertainty estimates and detect convergence.Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
Plans and prices
PyTurbo_SF Free No paid tiers or usage limits stated Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
Where Specifiction places it
- Physics Simulation Software#54 of 897.6