Factual package intelligence from PyPI

qualisr-lab 0.1.7 package intelligence

A toolkit for extracting IQA features, training regressors, and analyzing super-resolution image quality against human scores.

pip install qualisr-lab

Current version
0.1.7
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
667.4 KiB
Release history
4 releases with files
Median release cadence
0 days

qualisr-lab dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.8
  2. numpy >=1.24
  3. pandas >=2.0
  4. pillow >=10.0
  5. scikit-learn >=1.3
  6. scipy >=1.10
  7. tqdm >=4.66
  8. huggingface-hub >=0.23

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

qualisr-lab publishes 1 wheel and 1 source archive for version 0.1.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for qualisr-lab 0.1.7

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.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 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 .