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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

    Go 4.2k 2.1k

  2. trainer trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    Go 2.2k 1.1k

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 148 263

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 199 265

  5. spark-operator spark-operator Public

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

    Python 3.2k 1.5k

  6. notebooks notebooks Public

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

    84 149

Repositories

Showing 10 of 49 repositories
  • website Public

    Kubeflow Website

    kubeflow/website's past year of commit activity
    HTML 188 CC-BY-4.0 932 7 26 Updated Sep 19, 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
    84 Apache-2.0 149 112 (5 issues need help) 48 Updated Sep 19, 2026
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components's past year of commit activity
    Python 12 Apache-2.0 57 11 (1 issue needs help) 28 Updated Sep 19, 2026
  • mcp-apache-spark-history-server Public

    MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

    kubeflow/mcp-apache-spark-history-server's past year of commit activity
    Python 199 Apache-2.0 75 13 (2 issues need help) 8 Updated Sep 19, 2026
  • mcp-server Public

    MCP Server for AI-Assisted Development with Kubeflow Tools

    kubeflow/mcp-server's past year of commit activity
    Python 44 Apache-2.0 54 32 (2 issues need help) 28 Updated Sep 19, 2026
  • hub 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/hub's past year of commit activity
    Go 184 Apache-2.0 201 19 49 Updated Sep 19, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,225 Apache-2.0 1,052 90 (5 issues need help) 100 Updated Sep 19, 2026
  • mpi-operator Public

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

    kubeflow/mpi-operator's past year of commit activity
    Go 536 Apache-2.0 238 92 (6 issues need help) 9 Updated Sep 18, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale's past year of commit activity
    Python 705 Apache-2.0 161 40 (5 issues need help) 16 Updated Sep 18, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Go 4,221 Apache-2.0 2,130 213 (1 issue needs help) 289 Updated Sep 18, 2026
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