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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 159 325

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 201 268

  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 87 171

Repositories

Showing 10 of 50 repositories
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Python 4,262 Apache-2.0 2,187 238 (1 issue needs help) 147 Updated Nov 10, 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-2.0 171 126 (5 issues need help) 56 Updated Nov 10, 2026
  • mcp-server Public

    MCP Server for AI-Assisted Development with Kubeflow Tools

    kubeflow/mcp-server's past year of commit activity
    Python 59 Apache-2.0 91 64 (7 issues need help) 79 Updated Nov 11, 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 206 Apache-2.0 82 10 (1 issue needs help) 9 Updated Nov 10, 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 3,159 Apache-2.0 1,555 88 (8 issues need help) 78 Updated Nov 10, 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 1,707 Apache-2.0 552 81 (9 issues need help) 43 Updated Nov 10, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk's past year of commit activity
    Python 159 Apache-2.0 323 142 (8 issues need help) 186 Updated Nov 10, 2026
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,279 Apache-2.0 1,107 127 (6 issues need help) 152 Updated Nov 9, 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-2.0 209 10 26 Updated Nov 9, 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-2.0 243 92 (6 issues need help) 19 Updated Nov 9, 2026
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