Metaflow

Open-source MLOps framework from Netflix for building and deploying ML workflows

Code & DevelopmentFree

Metaflow is an open-source MLOps framework originally developed at Netflix that helps data scientists and ML engineers build, deploy, and manage real-life data science projects. Metaflow provides a Python API for defining ML workflows as decorated Python classes, handling versioning, checkpointing, and resumable execution automatically. The framework runs workflows locally for development and deploys them to AWS, Azure, or GCP for production scale, with no code changes required. Metaflow integrates with Kubernetes, AWS Batch, and AWS Step Functions for orchestration, and includes a UI for visualizing and monitoring pipeline executions. The project is used by Netflix, Airbnb, and many other data-intensive companies for production ML workflows.

Key Features

• ✓Python workflow API
• ✓Local and cloud execution
• ✓Automatic versioning
• ✓Resumable pipelines
• ✓Kubernetes integration
• ✓Netflix origin