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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 1.9k

  2. trainer trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    Go 2k 888

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 71 77

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.7k 506

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 183 244

  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 LLM Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 2,021 Apache-2.0 888 56 (15 issues need help) 45 Updated Feb 5, 2026
  • blog Public

    Kubeflow blog based on fastpages

    kubeflow/blog’s past year of commit activity
    Jupyter Notebook 32 Apache-2.0 58 16 10 Updated Feb 4, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale’s past year of commit activity
    Python 661 Apache-2.0 141 42 13 Updated Feb 4, 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
    65 Apache-2.0 85 138 28 Updated Feb 4, 2026
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 11 Apache-2.0 22 4 10 Updated Feb 4, 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 161 Apache-2.0 157 12 26 Updated Feb 4, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,071 Apache-2.0 1,914 256 (7 issues need help) 157 Updated Feb 4, 2026
  • website Public

    Kubeflow Website

    kubeflow/website’s past year of commit activity
    HTML 181 CC-BY-4.0 902 15 (3 issues need help) 16 Updated Feb 4, 2026
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 991 Apache-2.0 1,040 18 (6 issues need help) 14 Updated Feb 4, 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 128 Apache-2.0 40 18 (2 issues need help) 3 Updated Feb 3, 2026
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