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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 4.3k 2.2k

  2. trainer trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    Go 2.3k 1.1k

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 156 300

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 201 267

  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.

    TypeScript 87 162

Repositories

Showing 10 of 50 repositories
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Go 4,250 Apache-2.0 2,159 253 (1 issue needs help) 88 Updated Oct 22, 2026
  • mcp-server Public

    MCP Server for AI-Assisted Development with Kubeflow Tools

    kubeflow/mcp-server's past year of commit activity
    Python 55 Apache-2.0 81 43 (7 issues need help) 45 Updated Oct 22, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk's past year of commit activity
    Python 156 Apache-2.0 300 134 (8 issues need help) 178 Updated Oct 22, 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 3,155 Apache-2.0 1,543 80 (8 issues need help) 83 Updated Oct 21, 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 187 Apache-2.0 206 11 38 Updated Oct 21, 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
    TypeScript 87 Apache-2.0 162 122 (5 issues need help) 56 Updated Oct 22, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,251 Apache-2.0 1,086 119 (6 issues need help) 132 Updated Oct 21, 2026
  • dashboard Public

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard's past year of commit activity
    TypeScript 20 Apache-2.0 68 27 (1 issue needs help) 13 Updated Oct 21, 2026
  • katib Public

    Automated Machine Learning on Kubernetes

    kubeflow/katib's past year of commit activity
    Python 1,706 Apache-2.0 547 78 (9 issues need help) 42 Updated Oct 21, 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 205 Apache-2.0 79 11 (1 issue needs help) 4 Updated Oct 20, 2026
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