Kubeflow
ML toolkit for Kubernetes
⭐ 4.1/5 (2000 reviews)
About Kubeflow
Kubeflow is an open-source ML toolkit for Kubernetes. It provides components for notebooks, pipelines, training operators, and model serving, enabling portable ML workflows on any Kubernetes cluster.
Key Features
- ML pipelines
- Notebook servers
- Training operators
- KFServing
- Katib AutoML
- Multi-framework
✅ Pros
- Kubernetes-native
- Portable
- Comprehensive toolkit
- Open source
❌ Cons
- Complex setup
- Kubernetes knowledge required
- Resource-intensive
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