ZenML is an open-source MLOps framework that simplifies creating, deploying, and scaling machine learning pipelines. It integrates with modern infrastructure tools, supports modular pipeline design, and enables reproducibility through version control, making it ideal for production-grade ML workflows.
Works seamlessly with AWS, GCP, Kubernetes, and other cloud or local systems.
Enables building reusable, composable ML workflows across multiple stages.
Tracks changes in models, data, and code to ensure experiment reproducibility.
Helps teams share and manage ML workflows efficiently with access control.
Offers built-in alerts and dashboards to monitor ML pipeline health and failures.
Data Scientists, ML Engineers, DevOps Teams
Streamlines ML workflow management with reproducibility, monitoring, and scaling tools.
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