Seldon Core
★ 4/5 · Infrastructure
Open-source Kubernetes-native MLOps framework for deploying, managing, and monitoring thousands of production models.
Pros
- Completely open-source and free
- advanced deployment patterns (A/B tests, canary, multi-armed bandits)
- request logging and outlier detection
- scales to thousands of models
- supports TensorFlow, PyTorch, and multiple languages
Cons
- Requires Kubernetes expertise
- no managed SaaS option
- community support only
- operational overhead for monitoring and scaling
Cost
Free (open-source)
Verdict
Best for ML teams with strong Kubernetes expertise seeking cost-free production model serving at scale.
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