Factual package intelligence from PyPI

pyqalloy 0.3.9 package intelligence

PyQAlloy is a tool for detection of abnormal data in alloy datasets (and other chemical spaces), allowing removal of hard-to-find erros in the data which often introduce systematic errors throwing off machine learning and researchers alike. Its development is a part of ULTERA Pro

pip install pyqalloy

Current version
0.3.9
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.9 MiB
Release history
11 releases with files
Median release cadence
0 days

pyqalloy dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pymatgen >=2024.2.20
  2. numpy <2.0.0,>=1.25.0
  3. tqdm >=4.63.0
  4. natsort >=8.0.0
  5. pymongo >=4.2
  6. pySmartDL >=1.3.4
  7. dnspython
  8. scikit-learn
  9. plotly
  10. xlsxwriter
  11. kaleido
  12. montydb >=2.5.2

Compatibility and release files

pyqalloy publishes 1 wheel and 1 source archive for version 0.3.9. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 11 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 .