Factual package intelligence from PyPI

tensorly-viz 0.1.8 package intelligence

Package to visualise component-based decomposition models such as PCA and PARAFAC

pip install tensorly-viz

Current version
0.1.8
Python requirement
Not declared
License
"MIT license",
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.3 MiB
Release history
6 releases with files
Median release cadence
79 days

tensorly-viz dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. scipy
  3. matplotlib
  4. pandas >=1.1.0
  5. statsmodels
  6. xarray
  7. requests

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tensorly-viz publishes 1 wheel and 1 source archive for version 0.1.8. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .