Machine Learning Workflow Orchestration Platform
4.1k 2026-04-13
kubeflow/pipelines
Kubeflow Pipelines is a Kubernetes-native platform for building, deploying, and managing end-to-end machine learning workflows.
Core Features
End-to-end ML workflow orchestration
Facilitates ML experimentation and trial management
Enables reusability of components and pipelines
Kubernetes-native deployment and scalability
Detailed Introduction
Kubeflow Pipelines is a core component of the Kubeflow machine learning toolkit, designed to simplify, port, and scale ML workflow deployments on Kubernetes. It provides an SDK for building reusable, end-to-end ML pipelines, focusing on orchestrating complex workflows, enabling easy experimentation with various ML techniques, and promoting the reuse of components to accelerate solution development. It integrates seamlessly with Kubernetes and supports various container runtimes, making ML operations more efficient and manageable.