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@kubeflow

Kubeflow

Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes

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  1. pipelines pipelines Public

    Machine Learning Pipelines for Kubeflow

    Python 4.1k 2k

  2. trainer trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    Go 2.1k 945

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 105 173

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.7k 521

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 195 255

  6. spark-operator spark-operator Public

    Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

    Python 3.1k 1.5k

Repositories

Showing 10 of 47 repositories
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 105 Apache-2.0 173 43 (9 issues need help) 76 Updated Apr 20, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,124 Apache-2.0 1,986 259 (7 issues need help) 218 Updated Apr 18, 2026
  • mcp-apache-spark-history-server Public

    MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.

    kubeflow/mcp-apache-spark-history-server’s past year of commit activity
    Python 152 Apache-2.0 52 18 (2 issues need help) 14 Updated Apr 17, 2026
  • model-registry Public

    Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.

    kubeflow/model-registry’s past year of commit activity
    Go 174 Apache-2.0 180 18 27 Updated Apr 17, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 2,086 Apache-2.0 945 71 (13 issues need help) 64 Updated Apr 17, 2026
  • notebooks Public

    Kubeflow Notebooks runs interactive development environments for AI, ML, and Data workloads on Kubernetes.

    kubeflow/notebooks’s past year of commit activity
    71 Apache-2.0 104 149 36 Updated Apr 17, 2026
  • mcp-server Public

    MCP Server for AI-Assisted Development with Kubeflow Tools

    kubeflow/mcp-server’s past year of commit activity
    Python 3 Apache-2.0 5 0 3 Updated Apr 17, 2026
  • dashboard Public

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard’s past year of commit activity
    TypeScript 17 Apache-2.0 54 49 (3 issues need help) 47 Updated Apr 17, 2026
  • arena Public

    A CLI for Kubeflow.

    kubeflow/arena’s past year of commit activity
    Go 810 Apache-2.0 190 39 30 Updated Apr 16, 2026
  • spark-operator Public

    Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

    kubeflow/spark-operator’s past year of commit activity
    Python 3,116 Apache-2.0 1,481 52 (1 issue needs help) 33 Updated Apr 16, 2026
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