Flexibility
Organize assets into Projects
Safe, isolated environments to structure your projects and separate concerns between teams.
Separate concerns across projects and teams
Group pipelines, artifacts, and models into a single namespace. Easily see progress within a shared scope. Ensure that team members don’t accidentally interfere with cross-team work.
Resource Sharing
Easily share specific ML assets (like models or datasets) across namespaces when needed. Control which resources are private to a namespace and which are shared
Share secrets and stacks across projects
Stacks and secrets remain globally accessible across projects. Teams can share and collaborate across environments.
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
Unify Your ML and LLM Workflows
- Free, powerful MLOps open source foundation
- Works with any infrastructure
- Upgrade to managed Pro features
