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Numerical workflows for locating and verifying hidden attractor candidates in fractional-order systems.
pip install hidden-attractors-fo
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.26>=3.8>=1.12>=0.63.0>=6.0The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
hidden-attractors-fo publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .