Kubeflow is an open-source project that makes it easy to deploy and manage machine learning workloads on Kubernetes. The Kubeflow organization on GitHub contains many repositories that provide tools and services for Kubeflow. These repositories include ones for the main Kubeflow deployment, documentation, examples, a CLI for deployment, metadata tracking, testing infrastructure, common libraries, a frontend dashboard, machine learning pipelines, TensorFlow and PyTorch operators, hyperparameter tuning, and serverless inferencing.