Caffe
6.0#18 in deep learning softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitCaffe vs ONNX Runtime
ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
VisitWhat both publish
| Fact | Caffe | ONNX Runtime |
|---|---|---|
| Purpose | Caffe is a deep learning framework developed by Berkeley AI Research and community contributors. | ONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks. |
| Support | The site directs usage and installation questions to the caffe-users group and bug reports to GitHub Issues. | Documentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub. |
Caffe plans
- CaffeFree
ONNX Runtime plans
- Open sourceFree
Pick Caffe if…
You want what its maker publishes above — check its page for the details.
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.