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

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.
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.
ML/AI engineers and data scientists
Background.
- Status
- launched
- Business model
- open-source
- Company
- Netflix (original creator)
- Launched
- 2019
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.