Factual package intelligence from PyPI

QuadratiK 1.2.0 package intelligence

QuadratiK includes test for multivariate normality, test for uniformity on the Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data.

pip install quadratik

Current version
1.2.0
Python requirement
<=3.14,>=3.10
License
GPL-3.0-only
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.1 MiB
Release history
8 releases with files
Median release cadence
100 days

QuadratiK dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <4.0.0,>=3.8.2
  2. numpy <2.0.0,>=1.26.2 when python_version >= "3.10" and python_version < "3.13"
  3. numpy <3.0.0,>=2.0.0 when python_version >= "3.13"
  4. pandas <3.0.0,>=2.1.3
  5. plotly <6.0.0,>=5.15.0
  6. scikit-fda <0.11.0,>=0.10.1
  7. scikit-learn <2.0,>=1.3
  8. scipy <2.0,>=1.11
  9. streamlit <2.0.0,>=1.30.0
  10. tabulate <0.9,>=0.8

Compatibility and release files

QuadratiK publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .