Factual package intelligence from PyPI
This allows for developing embedded machine learning models using Tensorflow-Lite Micro
pip install yizhu-yzlite
PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.0==0.4.0<22.0>2.7>=0.12.2==3.20.3==1.23<2.0<4.0The compact report shows 18 of 32 declarations. The interactive dependency graph loads the complete metadata.
yizhu-yzlite publishes 1 wheel and 1 source archive for version 0.2.7. Wheel platform tags: macosx_11_0_arm64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.7, 3.8, 3.9.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .