Metaflow

Metaflow is a framework for real-life ML, AI, and data science. It supports building and managing workflows, allowing teams to use Python for modeling and orchestration, with automatic tracking and easy deployment to production. It emphasizes connecting data, compute, and results in an end-to-end workflow, across local and cloud environments.

The tool provides local development experiences and a path to scale out to the cloud. It enables testing and debugging locally, then deploying with a single command, while integrating with existing infrastructure and governance policies for security and data management.

Developers use Metaflow to organize experiments, track variables, and manage dependencies. It offers features to version data and model artifacts as flows progress, supporting collaboration and reproducibility across experiments and teams.

Metaflow is designed for ML/AI engineers and data scientists, integrating with various cloud services and on-premise options, and supporting hybrid compute patterns across environments.

Use cases

• Accelerate ML and data science workflows across teams