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.

Use cases for Metaflow

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Why is Metaflow better on Shakudo?

Why is Metaflow better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

See Shakudo in Action

Neal Gilmore
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