ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
VisitONNX Runtime vs TensorFlow
TensorFlow
6.7#7 in deep learning softwareFree planFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | ONNX Runtime | TensorFlow |
|---|---|---|
| Integrations | The ecosystem documentation lists integrations with Azure Machine Learning, Azure Custom Vision, Azure SQL Edge, Azure Synapse Analytics, ML.NET, and NVIDIA Triton Inference Server. | The TFX pipeline tutorial describes exporting pipeline source code that can be orchestrated with Apache Airflow and Apache Beam. |
| Maker | The site identifies Microsoft in its copyright notice; the pages reviewed do not state headquarters or a founding date. | TensorFlow's whitepaper describes the system as built at Google. |
| Support | Documentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub. | TensorFlow directs users to its issue tracker, release notes, Stack Overflow, community forum, and announcement mailing list. |
ONNX Runtime plans
- Open sourceFree
TensorFlow plans
- TensorFlowFree
Pick ONNX Runtime if…
ONNX Runtime suits developers deploying machine-learning models across varied devices and hardware accelerators. It may also suit teams seeking local training or browser and mobile inference.
Pick TensorFlow if…
TensorFlow suits developers and teams creating machine learning models for servers, edge devices, web, or mobile inference. Its distributed training and production pipeline tools may also suit teams deploying models at scale.