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 analyz

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

The compact report shows 18 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 .