Factual package intelligence from PyPI

ricebowl 0.5.2 package intelligence

This package allows the users to preprocess dataframes and images, plot the data and then use ml models using a single command

pip install ricebowl

Current version
0.5.2
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
21.3 KiB
Release history
16 releases with files
Median release cadence
2 days

ricebowl dependencies

PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. alabaster ==0.7.12
  2. Babel ==2.8.0
  3. certifi ==2020.6.20
  4. chardet ==3.0.4
  5. cycler ==0.10.0
  6. docutils
  7. idna ==2.10
  8. imagesize ==1.2.0
  9. imutils ==0.5.3
  10. Jinja2 ==2.11.2
  11. joblib ==0.16.0
  12. kiwisolver ==1.2.0
  13. MarkupSafe ==1.1.1
  14. matplotlib ==3.3.1
  15. numpy ==1.19.1
  16. opencv-contrib-python ==4.3.0.36
  17. packaging ==20.4
  18. pandas ==1.1.0
  19. Pillow ==7.2.0
  20. pycodestyle ==2.6.0
  21. pydicom
  22. Pygments ==2.6.1
  23. pyparsing ==2.4.7
  24. python-dateutil ==2.8.1
  25. pytz ==2020.1

The compact report shows 25 of 34 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ricebowl publishes 1 wheel and 1 source archive for version 0.5.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 16 releases with files. The first dated release is ; 16 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

2 historical releases are fully yanked in PyPI metadata.