---
title: "Introducing the Metaflow-Kubeflow Integration"
url: https://daily.dev/posts/introducing-the-metaflow-kubeflow-integration-aej0hztht
source_url: https://blog.kubeflow.org/metaflow/
type: article
source: "Kubeflow"
published: 2026-02-04T21:03:01.643Z
updated: 2026-02-04T21:03:21.858Z
tags: ["machine-learning", "kubernetes", "mlops"]
reading_time: 5
upvotes: 4
comments: 0
language: en
---

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# Introducing the Metaflow-Kubeflow Integration

**[Kubeflow](https://daily.dev/sources/kubeflow)** · 5 min read · 4 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.kubeflow.org/metaflow/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#kubernetes](https://daily.dev/tags/kubernetes), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/introducing-the-metaflow-kubeflow-integration-aej0hztht)