Factual package intelligence from PyPI

nbapredictdaily 1.0.1 package intelligence

A tool to predict the outcome of daily NBA games

pip install nbapredictdaily

Current version
1.0.1
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.1 KiB
Release history
5 releases with files
Median release cadence
0 days

nbapredictdaily dependencies

PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. async-generator >=1.10
  2. attrs >=22.2.0
  3. beautifulsoup4 >=4.11.2
  4. bs4 >=0.0.1
  5. certifi >=2022.12.7
  6. charset-normalizer >=3.0.1
  7. exceptiongroup >=1.1.0
  8. filelock >=3.9.0
  9. gdown >=4.6.3
  10. h11 >=0.14.0
  11. idna >=3.4
  12. numpy >=1.24.2
  13. outcome >=1.2.0
  14. pandas >=1.5.3
  15. pysocks >=1.7.1
  16. python-dateutil >=2.8.2
  17. pytz >=2022.7.1
  18. requests >=2.28.2
  19. selenium >=4.8.0
  20. six >=1.16.0
  21. sklearn >=0.0.post1
  22. scikit-learn
  23. sniffio >=1.3.0
  24. sortedcontainers >=2.4.0
  25. soupsieve >=2.4

The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

nbapredictdaily publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .

4 historical releases are fully yanked in PyPI metadata.