From Solo Science to Team Engineering

ZenML Open Source vs Pro

Transform your AI workflows from single-player experiments to multiplayer production systems. ZenML Pro builds on the same open-source foundation you trust: no code rewrites, no metadata migrations required.

ZenML Pro is Open Source and More

ZenML Pro extends the open-source foundation with enterprise features for collaboration, governance, and scale. The same pipelines keep running exactly as they are — moving to Pro takes no code rewrites.

01.

Managed control plane

ZenML Pro offers multi-tenant, fully-managed ZenML deployments. Separate your team into workspaces, and deploy dev, staging, and production servers separately.

02.

Roles and Permissions

ZenML Pro tenants have built-in roles and permissions, as an extension to the open-source product. We connect ZenML with your OIDC provider and offer SSO.

03.

Control and configurability

ZenML Pro control plane allows you to run ZenML pipelines directly from the server, and features enhanced configurability for your pipeline builds.

04.

Enhanced observability

ZenML Pro tenants have an enhanced dashboard with more features including a model control plane to view all your models, and the ability to trigger pipelines, do CI/CD and lots more.

Book a demo
A metro line map showing Collaboration, Governance, Automation and Reliability stations in the ZenML OSS line

Is Your ML Team Ready for the Next Station?

Our subway map framework helps you identify pain signals that indicate it’s time to upgrade your AI infrastructure.

Collaboration

"Who just overwrote my training stack?"

Multiple teams sharing buckets, databases, or GPU quotas without clear boundaries.

Governance

"Who just overwrote my training stack?"

Security teams requiring proof of who changed what, when—especially before production deployments.

Automation

"Can we refresh the model for tomorrow’s demo?"

Non-engineers needing to trigger retrains without CLI knowledge or developer intervention.

Reliability

"The server DB is down again"

Operations teams spending hours on cluster maintenance, upgrades, and backup procedures.

Learn more

ZenML Open Source vs Pro Feature Breakdown

A feature by feature comparison between ZenML Open Source vs ZenML Pro

FeatureOSSZenML Pro
Pipelines

Pipelines are Python workflows that execute a training, inference, eval, or agent task

Basic Controls with legacy dashboardAdvanced Controls and modern dashboard
Artifact and Model Control Plane

See all your models and artifacts in one place

Not availableAccessible in UI
Event Triggers

External sources

Client can trigger the pipeline onlyWebhooks to trigger actions (pipeline run, model promote) etc.
Run Templates

Create repeatable workflows triggered with one click

Not availableCreate run templates with one-click and run templates directly via the dashboard
Container management

If executed remotely, pipelines run in containers

Basic managementAdvanced management with container re-use and optimization
Role Based Access Control

Roles dictate who has permissions to do what

Not availableFine-grained permissions
User Management

A user account in one ZenML server

BasicAdvanced with SSO
Infrastructure

The infrastructure that supports the central ZenML server

Self-managedManaged, multi-tenant deployment with database backups, security, compliance, rollbacks, upgrades etc
Service Connectors

Credentials, authorization, and access control for your stack components

CLI onlyModern dashboard
Integrations

External tools for experiment tracking, model deployment, drift detection, etc.

CommunityPurpose-built
Support

Seeking help when stuck

CommunityDedicated 24/7
Setup of AI workflows

Setting up of the codebase and infrastructure required to build a successful AI platform

Self managedSpecialized onboarding

Start deploying reproducible
AI workflows today

Enterprise-grade AI orchestration platform trusted by thousands of companies in production.

Book a demo