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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 4.3k 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 160 326

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 203 269

  5. spark-operator spark-operator Public

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

    Python 3.2k 1.6k

  6. notebooks notebooks Public

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

    TypeScript 87 172

Repositories

Showing 10 of 50 repositories
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Python 4,264 Apache-2.0 2,196 252 (1 issue needs help) 116 Updated Nov 15, 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 70 26 (1 issue needs help) 18 Updated Nov 14, 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 207 Apache-2.0 84 10 (1 issue needs help) 13 Updated Nov 14, 2026
  • mpi-operator Public

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

    kubeflow/mpi-operator's past year of commit activity
    Go 543 Apache-2.0 244 94 (6 issues need help) 23 Updated Nov 14, 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-2.0 172 125 (5 issues need help) 59 Updated Nov 14, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,284 Apache-2.0 1,110 127 (6 issues need help) 154 Updated Nov 14, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk's past year of commit activity
    Python 160 Apache-2.0 325 142 (8 issues need help) 188 Updated Nov 13, 2026
  • katib Public

    WARNING: Katib project is DEPRECATED, users should migrate to OptimizationJob and Kubeflow Trainer

    kubeflow/katib's past year of commit activity
    Python 1,708 Apache-2.0 553 82 (9 issues need help) 41 Updated Nov 13, 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 189 Apache-2.0 210 11 34 Updated Nov 13, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale's past year of commit activity
    Python 706 Apache-2.0 169 18 (5 issues need help) 18 Updated Nov 13, 2026
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