SciPy [SEP] license
BSD license, and its development is sponsored and supported by an open community of developers. It is also supported by NumFOCUS, a community foundation for supporting reproducible and accessible science.
The SciPy Library/Package.
The SciPy package of key algorithms and functions core to Python's scientific computing capabilities. Available sub-packages include:
- constants: physical constants and conversion factors (since version 0.7.0)
- cluster: hierarchical clustering, vector quantization, K-means
- fftpack: Discrete Fourier Transform algorithms
– uses GPL-compatible CeCILL license
- SciPy – Python library for scientific computing that contains the "stats" sub-package which is partly based on the venerable "|STAT" (a.k.a. "PipeStat", formerly "UNIX|STAT") software
- scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)
- statsmodels – extends SciPy with statistical models and tests (regression, plotting, example datasets, generalized linear model (GLM), time