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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 853

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 55 57

  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
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 974 Apache-2.0 1,022 15 (6 issues need help) 9 Updated Dec 20, 2025
  • website Public

    Kubeflow Website

    kubeflow/website’s past year of commit activity
    HTML 178 CC-BY-4.0 888 16 (4 issues need help) 15 Updated Dec 20, 2025
  • kubeflow Public

    Machine Learning Toolkit for Kubernetes

    kubeflow/kubeflow’s past year of commit activity
    15,350 Apache-2.0 2,583 0 (4 issues need help) 0 Updated Dec 20, 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 5 10 Updated Dec 20, 2025
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale’s past year of commit activity
    Python 654 Apache-2.0 135 27 9 Updated Dec 19, 2025
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 6 Apache-2.0 12 0 14 Updated Dec 19, 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 21 28 Updated Dec 19, 2025
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,021 Apache-2.0 1,856 242 (8 issues need help) 121 Updated Dec 19, 2025
  • notebooks Public

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

    kubeflow/notebooks’s past year of commit activity
    60 Apache-2.0 75 110 37 Updated Dec 18, 2025
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 55 Apache-2.0 57 28 (12 issues need help) 17 Updated Dec 17, 2025
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