Factual package intelligence from PyPI
Production-ready local visual editor for tensor networks: versioned JSON diagrams and Python code for einsum and optional backends.
pip install tensor-network-editor
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.8>=3.3The compact report shows 12 of 15 declarations. The interactive dependency graph loads the complete metadata.
tensor-network-editor publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
Declared Python classifiers: 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 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .