What you can do with ZenML
Every task in plain language. Pick one, and we can help you get access.
12 things you can do
ZenML
ZenML is an open-source MLOps and LLMOps framework that unifies machine learning and generative AI workflows through a single orchestration, versioning, and governance layer. It provides a Python SDK, CLI, REST API, and server for managing pipelines, stacks, artifacts, models, and deployments across any infrastructure backend, with 60+ integrations spanning orchestrators, ML frameworks, GenAI tool
12 multi-step recipesRecipes: multi-step jobs
Audit Pipeline RunsResolve a pipeline by name, list its runs, and read the latest run.Authenticate and List Pipelines
Log in for a token, confirm the user, and list visible pipelines.Bootstrap Project Pipeline
Resolve a project workspace and register a pipeline under it, confirming both.Inspect Run Artifacts
Read a completed run and inspect one artifact from the catalog in detail.Inspect Stack Topology
Read a stack's component wiring and cross-reference the component catalog.Monitor Pipeline Run
Locate a pipeline's latest run and poll it until it reaches a terminal status.Provision Pipeline
Register a new pipeline under a resolved project and verify it persisted.Provision Secret
Create a scoped secret and confirm it is registered in the secret store.Register Model
Create a model, confirm it in the listing, and enumerate its versions.Register Stack
Build a new stack from existing components and verify it persisted.Trace Deployment Runs
From a deployment, read its pipeline and the latest run it produced.Track Scheduled Pipeline
From a schedule, locate and read the latest run of its target pipeline.