onnx and onnxmltools

ONNXMLTools is a conversion utility that transforms machine learning models from various frameworks into the ONNX format defined by the core ONNX specification, making them complements that are used together in a conversion pipeline.

onnx
98
Verified
onnxmltools
73
Verified
Maintenance 23/25
Adoption 25/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 14/25
Maturity 25/25
Community 24/25
Stars: 20,477
Forks: 3,896
Downloads: 16,425,577
Commits (30d): 42
Language: Python
License: Apache-2.0
Stars: 1,143
Forks: 214
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No risk flags

About onnx

onnx/onnx

Open standard for machine learning interoperability

Defines an extensible computation graph IR with built-in operators and standard data types, enabling model serialization and inference across PyTorch, TensorFlow, scikit-learn, and other frameworks. Provides shape/type inference, graph optimization, and opset version conversion utilities for seamless model portability from research to production deployment.

About onnxmltools

onnx/onnxmltools

ONNXMLTools enables conversion of models to ONNX

Scores updated daily from GitHub, PyPI, and npm data. How scores work