Metaflow
Metaflow is a human-centric framework designed to help scientists and engineers build and manage real-life AI and ML systems. Serving teams of all sizes and scale, Metaflow streamlines the entire development lifecycle—from rapid prototyping in notebooks to reliable, maintainable production deployments—enabling teams to iterate quickly and deliver robust systems efficiently.
Originally developed at Netflix and now supported by Outerbounds, Metaflow is designed to boost the productivity for research and engineering teams working on a wide variety of projects, from classical statistics to state-of-the-art deep learning and foundation models. By unifying code, data, and compute at every stage, Metaflow ensures seamless, end-to-end management of real-world AI and ML systems.
Today, Metaflow powers thousands of AI and ML experiences across a diverse array of companies, large and small, including Amazon, Doordash, Dyson, Goldman Sachs, Ramp, and many others. At Netflix alone, Metaflow supports over 3000 AI and ML projects, executes hundreds of millions of data-intensive high-performance compute jobs processing petabytes of data and manages tens of petabytes of models and artifacts for hundreds of users across its AI, ML, data science, and engineering teams.
From prototype to production (and back)
Metaflow provides a simple and friendly pythonic API that covers foundational needs of AI and ML systems:
For full documentation, check out our API Reference or see our Release Notes for the latest features and improvements.
Getting started
Getting up and running is easy. If you don't know where to start, Metaflow sandbox will have you running and exploring in seconds.
Installing Metaflow
... continue reading