metaflow.org
Open-source Python framework, born at Netflix, for building, scaling, and deploying real-world ML, AI, and data science workflows.
What it does
Metaflow is an open-source framework, originally developed at Netflix, that helps engineers and data scientists build and manage production ML, AI, and data science projects. It handles orchestration, versioning, dependency management, and compute so the same code runs locally or scales to the cloud.
How to use: Develop workflows in Python, debug locally, and deploy to production with a single command. Metaflow handles versioning, orchestration, and compute scaling automatically. You can also try Metaflow Sandbox in the browser for a quick taste.
Core features
Plain-Python workflow orchestration
Automatic versioning and experiment tracking
Scale-out compute with GPUs and parallel instances
One-command deployment to production
Runs on AWS, Azure, GCP, or Kubernetes
Event-based triggering of workflows
Best for
→Developing and debugging ML pipelines locally
→Scaling model training to cloud GPUs
→Deploying experiments to production unchanged
→Building reactive, event-driven data systems
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