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On the recordRead 11 Oct 202616 facts
PyTurbo_SF
Plans and prices
PyTurbo_SF
Free
No paid tiers or usage limits stated
Read 11 Oct 2026 · pyturbo-sf.readthedocs.io
On the record
- Data export
- Yesgithub.com · read 23 Sep 2026
- Delivery mode
- desktopgithub.com · read 23 Sep 2026
- Input and results
- The example workflow accepts xarray Datasets and returns structure-function results as xarray Datasets.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Installation
- The package can be installed with pip from PyPI or installed from its GitHub source repository.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Integrations
- Required dependencies include NumPy, xarray, SciPy, pandas, and joblib; optional packages include matplotlib, Dask, Zarr, and netCDF4.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Isotropic analysis
- It provides isotropic averaging for 2D and 3D data.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Large-data considerations
- The guide recommends tuning bootstrap block sizes and suggests Dask for datasets larger than available memory.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Parallel processing
- The quick start demonstrates loky and threading backends, and the guide also lists multiprocessing as an option.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Purpose
- PyTurbo_SF is a Python package for efficient structure-function calculations on 1D, 2D, and 3D data, including turbulent-flow analysis.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Python requirement
- The installation guide states that Python 3.12 or higher is required.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Security and compliance
- The documentation pages reviewed do not state security certifications or compliance programs.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Structure-function types
- It supports longitudinal, transverse, scalar, and combined structure functions.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Support
- For installation issues, the guide directs users to GitHub Issues and community discussions.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Target users
- The documentation describes use by researchers in oceanography, atmospheric science, and fluid dynamics analyzing observational data and simulations.pyturbo-sf.readthedocs.io · read 11 Oct 2026
- Uncertainty analysis
- It uses adaptive bootstrap resampling to provide statistical uncertainty estimates and detect convergence.pyturbo-sf.readthedocs.io · read 11 Oct 2026
