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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 152 276

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 200 266

  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.

    85 157

Repositories

Showing 10 of 50 repositories
  • notebooks Public

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

    kubeflow/notebooks's past year of commit activity
    85 Apache-2.0 157 129 (5 issues need help) 51 Updated Oct 8, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk's past year of commit activity
    Python 152 Apache-2.0 276 113 (8 issues need help) 147 Updated Oct 8, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Go 4,236 Apache-2.0 2,141 228 (1 issue needs help) 129 Updated Oct 7, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,239 Apache-2.0 1,073 110 (5 issues need help) 134 Updated Oct 8, 2026
  • mlflow-integration Public
    kubeflow/mlflow-integration's past year of commit activity
    Python 9 Apache-2.0 11 3 6 Updated Oct 7, 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 203 Apache-2.0 76 12 (2 issues need help) 4 Updated Oct 7, 2026
  • spark-operator Public

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

    kubeflow/spark-operator's past year of commit activity
    Python 3,153 Apache-2.0 1,535 80 (4 issues need help) 77 Updated Oct 7, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale's past year of commit activity
    Python 705 Apache-2.0 164 38 (5 issues need help) 22 Updated Oct 6, 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 186 Apache-2.0 202 13 37 Updated Oct 6, 2026
  • mcp-server Public

    MCP Server for AI-Assisted Development with Kubeflow Tools

    kubeflow/mcp-server's past year of commit activity
    Python 47 Apache-2.0 63 37 (2 issues need help) 21 Updated Oct 6, 2026
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