Factual package intelligence from PyPI
Point process library with Hawkes specialization. Rust-accelerated MLE, EM, online, and Bayesian inference.
pip install intensify
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=1.11>=3.7The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
intensify publishes 15 wheels and 1 source archive for version 0.3.3. Wheel platform tags: macosx_10_12_x86_64, macosx_11_0_arm64, manylinux_2_17_aarch64.manylinux2014_aarch64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12.
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.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .