Here’s the difference between Kubeflow and Argo. The comparison is based on pricing, deployment, business model, and other important factors.
Kubeflow provides an open-source machine learning toolkit for Kubernetes. Enables users to train, deploy and manage a machine learning stack on Kubernetes. Is compatible with PyTorch, Apache MXNet, MPI, XGBoost, Chainer & more and can be integrated with Istio and Ambassador.
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).