Factual package intelligence from PyPI

insurance-conformal 1.3.2 package intelligence

Distribution-free prediction intervals for insurance pricing: conformal coverage guarantees, Tweedie non-conformity scores, SCR bounds, and anytime-valid sequential monitoring.

pip install insurance-conformal

Current version
1.3.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
758.0 KiB
Release history
13 releases with files
Median release cadence
2 days

insurance-conformal dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0
  2. pandas >=2.0
  3. polars >=1.0
  4. pyarrow >=14.0
  5. scikit-learn >=1.6
  6. scipy >=1.12

The compact report shows 12 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

insurance-conformal publishes 1 wheel and 1 source archive for version 1.3.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for insurance-conformal 1.3.2

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 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .