Factual package intelligence from PyPI

classification-text-email 0.0.1 package intelligence

compiled packages

pip install classification-text-email

Current version
0.0.1
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

classification-text-email dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.17.3
  2. scikit-learn ==0.23.1
  3. spacy ==2.3.2
  4. autocorrect
  5. lime
  6. gensim ==3.4.0
  7. pyLDAvis ==2.1.2
  8. docx2pdf ==0.1.7
  9. python-docx ==0.8.10
  10. pyPDF2 ==1.26.0
  11. pywin32 ==227
  12. wordninja
  13. nltk ==3.4.1
  14. pandas ==0.25.3
  15. tensorflow ==1.15.3
  16. tensorflow-gpu ==1.15.3
  17. tensorflow-hub ==0.7.0
  18. bert-tensorflow ==1.0.1
  19. keras ==2.2.4
  20. autoviml
  21. typed-ast >=1.3.0
  22. dask
  23. requests ==2.22.0
  24. flask ==1.1.1
  25. joblib ==0.16.0

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

classification-text-email publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release 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 .