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PyTurbo_SF

pyturbo-sf.readthedocs.io

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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

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