Factual package intelligence from PyPI
Modular PennyLane-based quantum machine learning suite for classification, regression, and quantum kernel methods.
pip install qml-pennylane
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.34>=1.24>=1.3>=3.7The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
qml-pennylane publishes 1 wheel and 1 source archive for version 0.2.14. Wheel platform tags: any.
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 23 releases with files. The first dated release is ; 23 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .