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

    Python 4.1k 2k

  2. trainer trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    Go 2.1k 929

  3. sdk sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    Python 86 144

  4. katib katib Public

    Automated Machine Learning on Kubernetes

    Python 1.7k 518

  5. community community Public

    Information about the Kubeflow community including proposals and governance information.

    Jsonnet 187 250

  6. spark-operator spark-operator Public

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

    Python 3.1k 1.5k

Repositories

Showing 10 of 46 repositories
  • trainer Public

    Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

    kubeflow/trainer’s past year of commit activity
    Go 2,054 Apache-2.0 929 68 (15 issues need help) 48 Updated Mar 16, 2026
  • model-registry 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/model-registry’s past year of commit activity
    Go 166 Apache-2.0 168 14 34 Updated Mar 16, 2026
  • sdk Public

    Universal Python SDK to run AI workloads on Kubernetes

    kubeflow/sdk’s past year of commit activity
    Python 86 Apache-2.0 143 36 (9 issues need help) 48 Updated Mar 16, 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
    68 Apache-2.0 94 140 (1 issue needs help) 30 Updated Mar 16, 2026
  • mpi-operator Public

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

    kubeflow/mpi-operator’s past year of commit activity
    Go 516 Apache-2.0 232 88 (6 issues need help) 13 Updated Mar 16, 2026
  • dashboard Public

    Kubeflow Central Dashboard is the web interface for Kubeflow

    kubeflow/dashboard’s past year of commit activity
    TypeScript 16 Apache-2.0 50 51 (3 issues need help) 33 Updated Mar 16, 2026
  • pipelines Public

    Machine Learning Pipelines for Kubeflow

    kubeflow/pipelines’s past year of commit activity
    Python 4,103 Apache-2.0 1,967 265 (7 issues need help) 183 Updated Mar 14, 2026
  • mcp-apache-spark-history-server Public

    MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.

    kubeflow/mcp-apache-spark-history-server’s past year of commit activity
    Python 138 Apache-2.0 47 16 (2 issues need help) 6 Updated Mar 14, 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 3,109 Apache-2.0 1,479 53 (1 issue needs help) 38 Updated Mar 13, 2026
  • pipelines-components Public

    Kubeflow Pipelines

    kubeflow/pipelines-components’s past year of commit activity
    Python 11 Apache-2.0 23 6 14 Updated Mar 13, 2026
View all repositories