Machine Learning

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

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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.

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Neal Gilmore