onnx/onnx
Open standard for machine learning interoperability
- Stars21.7k
- LanguagePython
- LicenseApache-2.0
Open standard for machine learning interoperability
Open standard for machine learning interoperability
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring).
ONNX is widely supported and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community. We invite the community to join us and further evolve ONNX.
Description and README excerpt from onnx/onnx on GitHub ↗.
onnx/onnx was first seen on GitHub · Trending Python today on Nov 6, 2026. Since then it has appeared in 8 checks on 2 different days. Its best position was #10 of 20, reached on Nov 6, 11:49 UTC. It dropped off the list after Nov 7, 08:49 UTC.
Position on GitHub · Trending Python today at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by GitHub.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Nov 7, 08:49 UTC, after 2 days of trending.
#10 on GitHub · Trending Python today, on Nov 6, 11:49 UTC. Trendoday checks this list every 180 minutes.
It was first seen on Nov 6, 2026 and has been on the list on 2 days (8 checks) since.
Mostly Python; it is licensed under Apache-2.0. It has 21.7k stars and 4080 forks.