Factual package intelligence from PyPI

process-improve 1.52.2 package intelligence

Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.

pip install process-improve

Current version
1.52.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.6 MiB
Release history
249 releases with files
Median release cadence
0 days

process-improve dependencies

PyPI declares 46 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.2.6
  2. pandas <3.0,>=2.3.3
  3. patsy >=1.0.2
  4. pydantic >=2.12.5
  5. pyyaml >=6.0
  6. scikit-learn >=1.7.2
  7. statsmodels >=0.14.6
  8. tqdm >=4.67.1

The compact report shows 12 of 46 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

process-improve publishes 1 wheel and 1 source archive for version 1.52.2. Wheel platform tags: any.

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

Security snapshot for process-improve 1.52.2

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 249 releases with files. The first dated release is ; 121 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

2 historical releases are fully yanked in PyPI metadata.