Metaflow, Netflix's Python framework for ML/AI projects, now integrates with Kubeflow Pipelines, allowing developers to author workflows using Metaflow's intuitive APIs while deploying them on Kubeflow infrastructure. The integration preserves existing Kubernetes and Kubeflow setups while enhancing developer experience with features like automated state management, incremental workflow building, visual outputs, and simplified dependency packaging. Setup requires only installing the metaflow-kubeflow extension and pointing to your Kubeflow Pipelines service, enabling local testing before deployment with simple commands.

5m read timeFrom blog.kubeflow.org
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A tale of two flows: Metaflow and KubeflowWhy Metaflow → KubeflowMetaflow → Kubeflow in practiceFeedback welcome!

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