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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 855

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 59 59

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.6k 497

  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
  • dashboard Public

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard’s past year of commit activity
    TypeScript 14 Apache-2.0 34 46 (1 issue needs help) 12 Updated Dec 29, 2025
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 6 Apache-2.0 12 0 11 Updated Dec 28, 2025
  • 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 3,080 Apache-2.0 1,451 55 (1 issue needs help) 22 Updated Dec 25, 2025
  • trainer Public

    Distributed AI Model Training and Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 1,988 Apache-2.0 855 60 (12 issues need help) 28 Updated Dec 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 158 Apache-2.0 151 16 29 Updated Dec 24, 2025
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,029 Apache-2.0 1,864 237 (7 issues need help) 123 Updated Dec 24, 2025
  • mpi-operator Public

    Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

    kubeflow/mpi-operator’s past year of commit activity
    Go 502 Apache-2.0 229 89 (6 issues need help) 12 Updated Dec 23, 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 117 Apache-2.0 38 17 (2 issues need help) 3 Updated Dec 24, 2025
  • manifests Public

    Kubeflow Deployment Manifests

    kubeflow/manifests’s past year of commit activity
    YAML 977 Apache-2.0 1,023 16 (6 issues need help) 9 Updated Dec 24, 2025
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 59 Apache-2.0 59 29 (13 issues need help) 19 Updated Dec 23, 2025
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