Factual package intelligence from PyPI

dataglass 0.8.1 package intelligence

dataglass is a Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. It includes modules for handling missing values, detecting and resolving duplicates, managing outliers, feature encoding, type conversion, scaling, and pipeline integratio

pip install dataglass

Current version
0.8.1
Python requirement
>=3.10
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
79.1 KiB
Release history
3 releases with files
Median release cadence
58 days

dataglass dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5
  2. numpy >=1.21
  3. scikit-learn >=1.1
  4. matplotlib >=3.5
  5. rapidfuzz >=3.0
  6. seaborn >=0.11
  7. category_encoders >=2.5

Compatibility and release files

dataglass publishes 1 wheel and 1 source archive for version 0.8.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .