Factual package intelligence from PyPI

pratlib 1.1.4 package intelligence

A PySpark library for machine learning, similar to scikit-learn.

pip install pratlib

Current version
1.1.4
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
20.0 KiB
Release history
13 releases with files
Median release cadence
0 days

pratlib dependencies

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

  1. pyspark >=3.0.0
  2. asttokens ==3.0.0
  3. colorama ==0.4.6
  4. comm ==0.2.2
  5. debugpy ==1.8.13
  6. decorator ==5.2.1
  7. executing ==2.2.0
  8. ipykernel ==6.29.5
  9. ipython ==9.0.2
  10. ipython_pygments_lexers ==1.1.1
  11. jedi ==0.19.2
  12. jupyter_client ==8.6.3
  13. jupyter_core ==5.7.2
  14. matplotlib-inline ==0.1.7
  15. nest-asyncio ==1.6.0
  16. numpy ==2.2.4
  17. packaging ==24.2
  18. parso ==0.8.4
  19. platformdirs ==4.3.7
  20. prompt_toolkit ==3.0.50
  21. psutil ==7.0.0
  22. pure_eval ==0.2.3
  23. py4j ==0.10.9.7
  24. Pygments ==2.19.1
  25. pyspark ==3.5.5

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

Compatibility and release files

pratlib publishes 1 wheel and 1 source archive for version 1.1.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .