Factual package intelligence from PyPI
Physics-constrained Neural DEs for chemical reactor digital twins
pip install reactor-twin
PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.1>=0.2.3<2.0,>=1.24>=1.11>=1.5>=5.18>=3.8>=2.5>=6.0The compact report shows 12 of 33 declarations. The interactive dependency graph loads the complete metadata.
reactor-twin publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 .