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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 873

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 61 67

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.7k 498

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 181 243

  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
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,049 Apache-2.0 1,882 250 (7 issues need help) 119 Updated Jan 15, 2026
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 8 Apache-2.0 17 2 8 Updated Jan 15, 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 162 Apache-2.0 152 13 25 Updated Jan 14, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale’s past year of commit activity
    Python 660 Apache-2.0 138 25 10 Updated Jan 14, 2026
  • trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 2,002 Apache-2.0 873 60 (13 issues need help) 27 Updated Jan 14, 2026
  • internal-acls Public

    Repository used to main group ACLs used by Kubeflow developers

    kubeflow/internal-acls’s past year of commit activity
    Go 18 Apache-2.0 372 6 7 Updated Jan 14, 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 119 Apache-2.0 39 17 (2 issues need help) 3 Updated Jan 13, 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
    Go 3,089 Apache-2.0 1,454 56 (2 issues need help) 20 Updated Jan 12, 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
    61 Apache-2.0 75 108 32 Updated Jan 12, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 61 Apache-2.0 67 27 (11 issues need help) 16 Updated Jan 12, 2026