Factual package intelligence from PyPI

FashionTrendForecasting 0.1.0 package intelligence

A package for predicting fashion trends

pip install fashiontrendforecasting

Current version
0.1.0
Python requirement
>=3.12.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
19.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

FashionTrendForecasting dependencies

PyPI declares 128 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. annotated-types ==0.6.0
  2. anyio ==4.3.0
  3. appnope ==0.1.4
  4. argon2-cffi ==23.1.0
  5. argon2-cffi-bindings ==21.2.0
  6. arrow ==1.3.0
  7. asttokens ==2.4.1
  8. async-lru ==2.0.4
  9. attrs ==23.2.0
  10. Babel ==2.15.0
  11. beautifulsoup4 ==4.12.3
  12. bleach ==6.1.0
  13. certifi ==2024.2.2
  14. cffi ==1.16.0
  15. charset-normalizer ==3.3.2
  16. click ==8.1.7
  17. comm ==0.2.2
  18. contourpy ==1.2.1

The compact report shows 18 of 128 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

FashionTrendForecasting publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. 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 .

The project does not publish external project URLs in its PyPI metadata.