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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 4k 1.9k

  2. trainer trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    Go 2k 855

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 58 58

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.6k 495

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 181 244

  6. spark-operator spark-operator Public

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

    Go 3.1k 1.5k

Repositories

Showing 10 of 46 repositories
  • trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 1,989 Apache-2.0 855 60 (12 issues need help) 27 Updated Dec 24, 2025
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,022 Apache-2.0 1,861 239 (8 issues need help) 116 Updated Dec 24, 2025
  • mpi-operator Public

    Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

    kubeflow/mpi-operator’s past year of commit activity
    Go 501 Apache-2.0 228 89 (6 issues need help) 12 Updated Dec 24, 2025
  • 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 116 Apache-2.0 38 17 (2 issues need help) 3 Updated Dec 24, 2025
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 976 Apache-2.0 1,023 16 (6 issues need help) 9 Updated Dec 23, 2025
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 58 Apache-2.0 58 28 (12 issues need help) 18 Updated Dec 23, 2025
  • 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 157 Apache-2.0 149 20 30 Updated Dec 23, 2025
  • website Public

    Kubeflow Website

    kubeflow/website’s past year of commit activity
    HTML 179 CC-BY-4.0 889 15 (3 issues need help) 15 Updated Dec 23, 2025
  • community Public

    Information about the Kubeflow community including proposals and governance information.

    kubeflow/community’s past year of commit activity
    Jsonnet 181 Apache-2.0 244 4 9 Updated Dec 23, 2025
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 6 Apache-2.0 12 0 12 Updated Dec 23, 2025