Kubeflow
by Google · open-source · Last verified 2026-03-17
Open-source ML platform for Kubernetes providing end-to-end ML workflow orchestration. Includes pipeline authoring, distributed training, hyperparameter tuning, and model serving on Kubernetes clusters.
https://www.kubeflow.org ↗C+
C+—Average
Adoption: BQuality: AFreshness: B+Citations: BEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- ml-pipelines, distributed-training, hyperparameter-tuning, model-serving, notebook-servers
- Integrations
- tensorflow, pytorch
- Use Cases
- ml-workflow-orchestration, distributed-training, model-deployment, experiment-management
- API Available
- Yes
- SDK Languages
- python
- Deployment
- kubernetes
- Rate Limits
- N/A (self-hosted on Kubernetes)
- Data Privacy
- Self-hosted, user-managed; runs on your Kubernetes cluster
- Tags
- mlops, kubernetes, pipelines, training, serving
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
57.05Adoption
62
Quality
80
Freshness
75
Citations
65
Engagement
0