Factual package intelligence from PyPI

noventis 0.1.5 package intelligence

An all-in-one automation library that simplifies data cleaning, exploratory data analysis, and machine learning — from raw data to ready-to-deploy models.

pip install noventis

Current version
0.1.5
Python requirement
<3.13,>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
278.9 KiB
Release history
6 releases with files
Median release cadence
0 days

noventis dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas <2.4.0,>=1.3.0
  2. numpy <2.0.0,>=1.21.0
  3. scipy <2.0.0,>=1.7.0
  4. matplotlib <4.0.0,>=3.4.0
  5. seaborn <0.14.0,>=0.11.0
  6. ipython <9.0.0,>=7.30.0
  7. scikit-learn <2.0.0,>=1.0.0
  8. statsmodels <1.0.0,>=0.13.0
  9. optuna <5.0.0,>=3.0.0
  10. shap <1.0.0,>=0.41.0
  11. flaml <3.0.0,>=2.0.0
  12. xgboost <4.0.0,>=1.5.0
  13. lightgbm <5.0.0,>=3.3.0
  14. catboost <2.0.0,>=1.0.0
  15. category_encoders <3.0.0,>=2.5.0
  16. joblib <2.0.0,>=1.1.0
  17. imbalanced-learn <1.0.0,>=0.9.0
  18. Jinja2 <4.0.0,>=3.0.0
  19. nbformat <6.0.0,>=5.5.0

Compatibility and release files

noventis publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .