Factual package intelligence from PyPI

Chinese-Word-Vectors 3.2.5 package intelligence

This project provides 100+ Chinese Word Vectors (embeddings) trained with different **representations** (dense and sparse), **context features** (word, ngram, character, and more), and **corpora**. One can easily obtain pre-trained vectors with different properties and use them f

pip install chinese-word-vectors

Current version
3.2.5
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

Chinese-Word-Vectors dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. requests
  2. faker
  3. execjs
  4. loguru
  5. base64
  6. hashlib
  7. Crypto
  8. pandas
  9. fuzzywuzzy
  10. httpx
  11. Pillow
  12. playwright
  13. PyExecJS
  14. redis
  15. fastapi
  16. uvicorn
  17. APScheduler
  18. beautifulsoup4
  19. bs4
  20. certifi
  21. clickhouse-driver
  22. curl-cffi
  23. DrissionPage
  24. fake-useragent
  25. Flask

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

Chinese-Word-Vectors publishes 1 wheel and 1 source archive for version 3.2.5. 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 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 .