ZenML
MLOps pipeline framework
0 case studies
Data Dev Framework MLOps pipeline framework
ZenML is used to build portable, production-ready ML pipelines that can run on any infrastructure stack including local machines, Kubernetes, cloud services, and managed platforms. It provides a framework to connect your training, evaluation, and deployment steps with versioned artifacts and metadata tracking across every run.
Install with `pip install zenml` and initialize a project with `zenml init`. Define pipeline steps as decorated Python functions and compose them into a pipeline. Register a stack with `zenml stack register` to configure where your pipeline runs, or use the default local stack to get started immediately.
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