Machine Learning

What is Metaflow, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is Metaflow?

Metaflow, a human-friendly Python framework, empowers data scientists and engineers to build and manage real-life data science projects with structure and scalability – all without compromising flexibility. Experiment freely in notebooks, then seamlessly transition to Metaflow's DAG-based structure for clear workflows, effortless versioning, and robust local testing. Scale seamlessly to the cloud, unleashing GPUs and parallel processing when needed. Metaflow's built-in organization fosters collaboration. Finally, achieve confident deployments with adaptable flows that intelligently respond to live data and updates.

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Use cases for Metaflow

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Why is Metaflow better on Shakudo?

Why is Metaflow better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
integrate

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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