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Ludwig vs ONNX Runtime

Ludwig

6.7#5 in deep learning softwareFree plan
Free planAPILinuxmacOSSelf-hosted
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ONNX Runtime

7.2#4 in deep learning softwareFree plan
Free planAndroidiOSWebLinux
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What both publish

FactLudwigONNX Runtime
IntegrationsListed integrations include HuggingFace Transformers, Ray, PyTorch, W&B, MLflow, TensorBoard, Optuna, Ray Tune, Docker, Kubernetes, vLLM, DeepSpeed, ONNX, SafeTensors, Dask, PyArrow, Comet ML, and Aim.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.

Ludwig plans

  • Open sourceFree

ONNX Runtime plans

  • Open sourceFree

Pick Ludwig if…

Ludwig suits people building or tuning deep learning models across varied data types, from YAML-based beginners to experts who customize PyTorch components. It supports both local and distributed deployment approaches.

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.

Charts they share