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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 909

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 80 115

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.7k 510

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 183 247

  6. spark-operator spark-operator Public

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

    Python 3.1k 1.5k

Repositories

Showing 10 of 46 repositories
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 996 Apache-2.0 1,047 18 (6 issues need help) 17 Updated Feb 27, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 2,037 Apache-2.0 909 53 (15 issues need help) 49 Updated Feb 27, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,091 Apache-2.0 1,948 265 (7 issues need help) 176 Updated Feb 27, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 80 Apache-2.0 115 36 (12 issues need help) 32 Updated Feb 27, 2026
  • blog Public

    Kubeflow blog based on fastpages

    kubeflow/blog’s past year of commit activity
    Jupyter Notebook 32 Apache-2.0 58 15 9 Updated Feb 27, 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
    67 Apache-2.0 91 148 (1 issue needs help) 38 Updated Feb 27, 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 165 Apache-2.0 163 12 32 Updated Feb 26, 2026
  • website Public

    Kubeflow Website

    kubeflow/website’s past year of commit activity
    HTML 181 CC-BY-4.0 908 17 (3 issues need help) 24 Updated Feb 26, 2026
  • pipelines-components Public

    Kubeflow Pipelines

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

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard’s past year of commit activity
    TypeScript 16 Apache-2.0 48 51 (3 issues need help) 28 Updated Feb 25, 2026