kubeflow

The Cloud Native AI Platform

Machine Learning Pipelines for Kubeflow

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

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

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

A repository to host extended examples and tutorials

Kubeflow Community Distribution

A CLI for Kubeflow.

Kubeflow’s superfood for Data Scientists

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

Python SDK for building, training, and deploying ML models

PyTorch on Kubernetes

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

Information about the Kubeflow community including proposals and governance information.

Kubeflow Website

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...

Kubeflow Pipelines on Tekton

kfctl is a CLI for deploying and managing Kubeflow

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

Universal Python SDK to run AI workloads on Kubernetes

Repository for assets related to Metadata.

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

Repository for benchmarking

Incubating project for xgboost operator

Test infrastructure and tooling for Kubeflow.

MCP Server for AI-Assisted Development with Kubeflow Tools

ML-Powered Developer Tools, using Kubeflow

A Kubernetes operator for mxnet jobs

Common APIs and libraries shared by other Kubeflow operator repositories.

Fate operator