Factual package intelligence from PyPI

TLAF 1.1 package intelligence

TLA is built using PyTorch, Transformers and several other State-of-the-Art machine learning techniques and it aims to expedite and structure the cumbersome process of collecting, labeling, and analyzing data from Twitter for a corpus of languages while providing detailed labeled

pip install tlaf

Current version
1.1
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
519.6 KiB
Release history
5 releases with files
Median release cadence
0 days

TLAF dependencies

PyPI declares 39 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. beautifulsoup4 ==4.9.3
  2. certifi ==2021.5.30
  3. charset-normalizer ==2.0.3
  4. click ==8.0.1
  5. colorama ==0.4.4
  6. cycler ==0.10.0
  7. filelock ==3.0.12
  8. huggingface-hub ==0.0.12
  9. idna ==3.2
  10. joblib ==1.0.1
  11. kiwisolver ==1.3.1
  12. lxml ==4.6.3
  13. matplotlib ==3.4.2
  14. nltk ==3.6.2
  15. numpy ==1.21.1
  16. packaging ==21.0
  17. pandas ==1.3.0
  18. Pillow ==8.3.1
  19. pyparsing ==2.4.7
  20. PySocks ==1.7.1
  21. python-dateutil ==2.8.2
  22. pytz ==2021.1
  23. PyYAML ==5.4.1
  24. regex ==2021.7.6
  25. requests ==2.26.0

The compact report shows 25 of 39 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

TLAF publishes 1 wheel and 0 source archives for version 1.1. 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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .