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Metaflow

A framework for real-life ML, AI, and data science

Dev Toolsmachine-learningmlopsdata-scienceopen-sourcepythonworkflow-orchestrationcloud
Metaflow screenshot

About

Metaflow is an open-source Python framework originally developed at Netflix to help ML engineers and data scientists build, manage, and deploy real-life machine learning and AI projects. It supports the full lifecycle from local development and experimentation to cloud-scale execution on AWS, Azure, Google Cloud, or Kubernetes. The framework handles versioning, tracking, and orchestration automatically, enabling teams to move experiments to production without code changes.

Problem

Building and managing real-life ML and AI projects is complex, requiring tools that handle scaling, tracking, orchestration, and production deployment across diverse infrastructure.

For

ML/AI engineers and data scientists

How it works

Developers define workflows as Python flows, run and test them locally, then scale out to cloud infrastructure (AWS, Azure, GCP, or Kubernetes) with automatic result tracking and one-click production deployment.

Business model

open-source

Status

launched

Company

Netflix (original creator)

Launched

2019

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