Pipelines

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pipelines is an Open Source & Models tool that enables the creation and management of machine learning pipelines. It simplifies the orchestration of end-to-end ML workflows on Kubernetes.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is pipelines?

Kubeflow Pipelines is a core component of the Kubeflow platform, designed to simplify and scale machine learning (ML) workflows on Kubernetes. It provides end-to-end orchestration capabilities, making it easier to build, deploy, and manage complex ML pipelines. The service focuses on enabling easy experimentation, allowing users to quickly iterate on ideas and manage various trials. Furthermore, it promotes re-use of components and pipelines, accelerating the development of ML solutions without constant rebuilding. Kubeflow Pipelines leverages Argo Workflows for orchestrating Kubernetes resources and offers a Python SDK for defining pipelines, along with comprehensive API documentation.

Best used for

Ideal for data scientists and developers who need to build, manage, and deploy scalable machine learning workflows, conduct numerous experiments, and reuse ML components. Especially valuable for those working with Kubernetes and seeking an open-source solution for MLOps.

Common actions

orchestrate ML workflows

manage ML experiments

deploy machine learning

build data pipelines

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Capabilities

Key features

End-to-end ML orchestration
Easy experimentation
Component re-use
Kubernetes deployment
Python SDK

Target Audience

data scientistdeveloper

Integrations

kubernetesargo-workflowsmysql

Pricing & Plans

Open Source

Free

FAQs

What is the primary goal of Kubeflow Pipelines?

The primary goals are end-to-end orchestration of machine learning workflows, enabling easy experimentation with various techniques, and promoting the re-use of components and pipelines to accelerate solution development without constant rebuilding.

How can I install Kubeflow Pipelines?

Kubeflow Pipelines can be installed as part of the broader Kubeflow Platform, or it can be deployed as a standalone service. Detailed installation instructions are available in the official documentation.

What are the key dependencies for Kubeflow Pipelines?

Kubeflow Pipelines relies on Argo Workflows (versions v3.5, v3.7, v4.0) for orchestration and MySQL (version v8) for data storage. It is designed to be container runtime agnostic, using Emissary Executor by default.

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This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Productivity & Business › Workflow Automation

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