MegEngine
6.7#6 in deep learning softwareFree planFree planAndroidiOSLinuxmacOS
VisitMegEngine vs ONNX Runtime
ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
VisitWhat both publish
| Fact | MegEngine | ONNX Runtime |
|---|---|---|
| Integrations | MegFile provides Python file interfaces for S3, HTTP and local files. | 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. |
| Purpose | MegEngine is a fast, scalable deep learning framework with automatic differentiation. | ONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks. |
| Security guidance | MegEngine advises users to check environment, model, data and privacy risks and recommends sandboxing models from other sources. | The documentation warns that models from untrusted sources may consume excessive memory or compute resources and recommends inspection and safe testing. |
| Support | The project lists GitHub issues, a forum, QQ group and [email protected] for contact. | Documentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub. |
MegEngine plans
- MegEngineFree
ONNX Runtime plans
- Open sourceFree
Pick MegEngine if…
MegEngine suits developers working on model development and deployment who can use its listed Python packages or inference targets. Its tutorials address both beginners and advanced developers.
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.