ZenML

Observability

Unified model lifecycle management

Deploy, monitor, and update all ML models from a single dashboard

Dashboard displaying machine learning models, including versions, authors, and tags. Relevant to model monitoring and ML pipelines.

Unified model lifecycle management

Deploy, monitor, and update all your ML models from a single dashboard. Track performance, accuracy, and health in real-time.

Dashboard mockup

Track metrics and metadata

Track and visualize model metrics and metadata such as LLM prompts, centrally in one place.

Dashboard mockup

Automated model governance

Implement version control, approval workflows, and audit trails for your ML models effortlessly.

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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Unify Your ML and LLM Workflows

  • Free, powerful MLOps open source foundation
  • Works with any infrastructure
  • Upgrade to managed Pro features
Dashboard displaying machine learning models with version tracking