Integrate Label Studio into your ML pipeline

Overview

ZenML is an extensible open source machine learning framework for creating production-ready MLOps pipelines. ZenML allows for the installation and management of Label Studio as an annotation stack within a larger complete machine learning pipeline.

ZenML can handle not only the installation of Label Studio but also the configuration of cloud storage to manage data artifacts.

Benefits

Integrating ZenML with Label Studio provides the following benefits:

• Complete Pipeline: ZenML can help to build a complete ML pipeline, providing a single platform for labeling, training, and deployment.
• Automatic Configuration: ZenML automatically connects and configures the different parts of the pipeline, including the storage for data artifacts.

How Label Studio Connects with ZenML

ZenML integrates Label Studio as an annotation component inside its MLOps pipelines. ZenML can provision and manage a Label Studio service, connect cloud storage, and pass datasets and artifacts between steps for labeling, training, and evaluation. This makes it easy to insert human-in-the-loop annotation directly into automated ML workflows.

What’s Different in Enterprise

Label Studio Enterprise adds security, governance, and workflow management features that make the ZenML integration production-ready at scale. Teams can use SSO, RBAC, audit logs, and advanced storage authentication while managing multi-annotator projects and review workflows in the same pipeline. Learn more in the Enterprise features guide.