Factual package intelligence from PyPI

open-riskpy 0.2.6 package intelligence

C++ powered actuarial engine: FactorModel, Monte Carlo, Loss Triangle, Fourier aggregate loss, and batch Excel export.

pip install open-riskpy

Current version
0.2.6
Python requirement
>=3.8
License
MIT
Distribution type
Includes compiled wheel
Release files
13 (12 wheels, 1 source)
Download size
22.1 MiB
Release history
7 releases with files
Median release cadence
18 days

open-riskpy dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

open-riskpy publishes 12 wheels and 1 source archive for version 0.2.6. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.

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

Security snapshot for open-riskpy 0.2.6

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 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .