Factual package intelligence from PyPI
This allows for developing embedded machine learning models using Tensorflow-Lite Micro
pip install silabs-mltk
PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.0<22.0<2.17,>=2.3>=0.12.2<4.0,>=3.18<2.0<4.0<5.0<11.0<1.0The compact report shows 18 of 31 declarations. The interactive dependency graph loads the complete metadata.
silabs-mltk publishes 7 wheels and 0 source archives for version 0.20.0. Wheel platform tags: manylinux2014_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 15 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .