ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
Visit| Fact | ONNX Runtime | PyTorch |
|---|---|---|
| Languages | The site lists support for Python, C#, C++, Java, JavaScript, and Rust, among other languages. | PyTorch offers Python and C++ front ends, and the installer lists Python and C++/Java language choices. |
| Purpose | ONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks. | PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front end, distributed training, and an ecosystem of tools and libraries. |
| Support | Documentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub. | The Foundation directs users with technical questions to the PyTorch discussion community. |
No prices published.
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.
PyTorch suits developers, researchers, and enterprises building or deploying AI. It can also suit teams needing Python or C++ workflows and multiple deployment options.