Factual package intelligence from PyPI
User-friendly Graphical User Interface (GUI) to efficiently predict a trilinear approximation of pushover curves for low-rise reinforced concrete (RC) frame buildings, using a Machine Learning (ML) based approach.
pip install pushover-ml
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.9.1>=1.26.4>=1.4.2==1.2.1==2.17.0>=3.4.1>=3.1.5>=3.2.0>=2.2.2pushover-ml publishes 1 wheel and 1 source archive for version 1.4.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .