Optimization
PRO

Dashboard-driven pipeline lifecycle

Trigger and manage pipelines directly from the web interface.
A screenshot of the ZenML Pro dashboard showing a pipeline run details view and a list of pipelines and runs.

One-click pipeline deployment

Build, push, and launch pipelines with different configurations effortlessly. No need to set up your local environment. No-code, one-click launch of ML pipelines.
Dashboard mockup
An example of a ZenML pipeline code using project templates.

Pipeline Run Templates

Create reusable templates of pipelines and share across technical and non-technical members to trigger from dashboard. Create repeatable, reprodubile pipeline runs without breaking a sweat!

Advanced pipeline scheduling (coming soon)

Set up complex scheduling rules for automated pipeline runs, without relying on the underlying orchestrator.
Dashboard mockup
Gabriel Martin
ZenML allows you to keep your ML pipeline code cloud-agnostic, enabling faster future migrations to another technology stack. The management of the metadata and artifacts generated at each step is seamless, and allows the user to extend the framework if needed without much effort.
Gabriel Martin
Machine Learning Engineer at Frontiers
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Alt text: "Dashboard displaying a list of machine learning models with details on versioning, authors, and tags for insights and predictions."