Factual package intelligence from PyPI

p2predict 0.9.4 package intelligence

Parametric price benchmarking for engineering and procurement trade-offs. Agentic first, runs on your data, stays on your machine.

pip install p2predict

Current version
0.9.4
Python requirement
>=3.10
License
PolyForm-Noncommercial-1.0.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
218.5 KiB
Release history
3 releases with files
Median release cadence
2 days

p2predict dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click >=8.1
  2. joblib >=1.2
  3. matplotlib >=3.9
  4. mpld3 >=0.5
  5. numpy >=1.24
  6. pandas <3.0,>=2.0
  7. rich >=13.3
  8. scikit-learn >=1.5
  9. scipy >=1.10
  10. seaborn >=0.12
  11. xgboost >=1.7
  12. halo >=0.0.31

The compact report shows 12 of 16 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

p2predict publishes 1 wheel and 1 source archive for version 0.9.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for p2predict 0.9.4

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 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 .