Factual package intelligence from PyPI

data-science-toolkit 0.1.70 package intelligence

Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.

pip install data-science-toolkit

Current version
0.1.70
Python requirement
>=3.5
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
499.5 KiB
Release history
44 releases with files
Median release cadence
1 days

data-science-toolkit dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. setuptools >=42
  2. wheel
  3. pandas
  4. numpy
  5. tensorflow
  6. scikit-learn
  7. seaborn
  8. matplotlib
  9. wordcloud
  10. keras
  11. plotly
  12. xgboost
  13. opencv-python
  14. scikit-image
  15. unidecode
  16. emoji >=1.7
  17. textblob
  18. nltk

The compact report shows 18 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

data-science-toolkit publishes 1 wheel and 1 source archive for version 0.1.70. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for data-science-toolkit 0.1.70

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 44 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .