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Python Runtime for ONNX models, other helpers to convert machine learned models in C++.
pip install mlprodict
PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.
mlprodict publishes 11 wheels and 1 source archive for version 0.9.1883. Wheel platform tags: macosx_10_13_x86_64, manylinux_2_17_x86_64.manylinux2014_x86_64, manylinux_2_24_x86_64, win_amd64.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 33 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .