Skip to content
@kubeflow

Kubeflow

Kubeflow is an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes

Pinned Loading

  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 151 269

  4. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jupyter Notebook 199 266

  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
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer's past year of commit activity
    Go 2,236 Apache-2.0 1,068 102 (5 issues need help) 126 Updated Oct 3, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk's past year of commit activity
    Python 151 Apache-2.0 269 111 (11 issues need help) 144 Updated Oct 3, 2026
  • kale Public

    Kubeflow’s superfood for Data Scientists

    kubeflow/kale's past year of commit activity
    Python 705 Apache-2.0 163 42 (5 issues need help) 24 Updated Oct 3, 2026
  • community Public

    Information about the Kubeflow community including proposals and governance information.

    kubeflow/community's past year of commit activity
    Jupyter Notebook 199 Apache-2.0 265 9 9 Updated Oct 2, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines's past year of commit activity
    Go 4,232 Apache-2.0 2,138 227 (1 issue needs help) 133 Updated Oct 2, 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 60 29 (2 issues need help) 9 Updated Oct 2, 2026
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components's past year of commit activity
    Python 12 Apache-2.0 61 9 24 Updated Oct 2, 2026
  • mpi-operator Public

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

    kubeflow/mpi-operator's past year of commit activity
    Go 538 Apache-2.0 239 92 (6 issues need help) 11 Updated Oct 2, 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 1,536 84 (4 issues need help) 85 Updated Oct 2, 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 28 Updated Oct 2, 2026
View all repositories