Factual package intelligence from PyPI

mlatelier 1.0.0 package intelligence

Zero-code ML prototyping dashboard: tabular, vision, NLP, Bayesian optimisation, XAI, and Gemini AI assistant.

pip install mlatelier

Current version
1.0.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
227.9 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

mlatelier dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost >=1.2.0
  2. google-genai >=0.4.0
  3. imbalanced-learn >=0.12.0
  4. joblib >=1.3.0
  5. lightgbm >=4.0.0
  6. lime >=0.2.0.1
  7. matplotlib >=3.8.0
  8. nltk >=3.8.0
  9. numpy >=1.26.0
  10. pandas >=2.0.0
  11. requests >=2.31.0
  12. scikit-learn >=1.4.0
  13. scikit-optimize >=0.10.0
  14. scipy >=1.12.0
  15. seaborn >=0.13.0
  16. sentence-transformers >=2.6.0
  17. shap >=0.44.0
  18. streamlit >=1.33.0

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlatelier publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for mlatelier 1.0.0

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 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 .