Kubeflow
by Google · open-source · Last verified 2026-04-04
Kubeflow is an open-source machine learning platform designed to run on Kubernetes. It simplifies the deployment and management of machine learning workflows, including training, serving, and pipeline orchestration, making it easier to scale ML applications.
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Specifications
- License
- Apache License 2.0
- Pricing
- open-source
- Capabilities
- pipeline orchestration, model training, model serving, resource management
- Integrations
- TensorFlow, PyTorch, Seldon Core, Argo Workflows
- Use Cases
- deploying ML pipelines, managing ML infrastructure, scaling ML applications, automating ML workflows
- API Available
- Yes
- Tags
- kubernetes, machine-learning, mlops, pipeline, open-source
- Added
- 2026-04-04
- Completeness
- 100%
Index Score
73.2Fetch via API
Access Kubeflow programmatically — pipe it into your agent, dashboard, or workflow.
curl -X GET "https://aaas.blog/api/entity/framework/kubeflow" \
-H "x-api-key: aaas_your_key_here"Need an API key? Register free at /developer · Free tier: 1,000 req/day
Put AI to work for your business
Deploy this framework alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.
Use Kubeflow in production
Get credits and run agents on demand — pay only for what you use.
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