Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
ONNX is an open format that defines a common set of operators and a file format for representing machine learning models, enabling interoperability across different frameworks, tools, and runtimes. It facilitates hardware optimization access and is governed as a community project under the LFAI foundation.
Parse Score
#15 of 102 in ML Deployment & Inference Optimization Tools
Sources
pypi.org shapes more of what AI says about ONNX than any other source, at 15% of its citations.
arxiv.org · github.com · briancohn.com · dev.to
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