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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 1.8k

  2. trainer trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    Go 1.9k 817

  3. sdk sdk Public

    Kubeflow SDK for ML Experience

    Python 24 31

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.6k 483

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 179 242

  6. spark-operator spark-operator Public

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

    Go 3k 1.4k

Repositories

Showing 10 of 44 repositories
  • 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-2.0 365 3 5 Updated Sep 27, 2025
  • trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 1,919 Apache-2.0 817 70 (14 issues need help) 32 Updated Sep 26, 2025
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 3,953 Apache-2.0 1,797 222 (9 issues need help) 76 Updated Sep 26, 2025
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 952 Apache-2.0 996 20 (9 issues need help) 7 Updated Sep 26, 2025
  • notebooks Public

    Kubeflow Notebooks lets you run web-based development environments on your Kubernetes cluster by running them inside Pods.

    kubeflow/notebooks’s past year of commit activity
    51 Apache-2.0 63 144 37 Updated Sep 26, 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 82 Apache-2.0 20 17 (2 issues need help) 2 Updated Sep 25, 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 150 Apache-2.0 135 36 (2 issues need help) 24 Updated Sep 25, 2025
  • dashboard Public

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard’s past year of commit activity
    TypeScript 9 Apache-2.0 20 45 (1 issue needs help) 17 Updated Sep 25, 2025
  • website Public

    Kubeflow Website

    kubeflow/website’s past year of commit activity
    HTML 172 CC-BY-4.0 865 13 (3 issues need help) 13 Updated Sep 25, 2025
  • sdk Public

    Kubeflow SDK for ML Experience

    kubeflow/sdk’s past year of commit activity
    Python 24 Apache-2.0 31 26 (6 issues need help) 8 Updated Sep 24, 2025
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