
A framework for real-life ML, AI, and data science
Metaflow is a Netflix-originated open-source framework that simplifies the end-to-end lifecycle of ML, AI, and data science projects. It provides a Python-native approach to building production-grade workflows with automatic versioning, cloud scaling, and multi-platform deployment capabilities.

Metaflow is an open-source framework originally developed at Netflix and open-sourced in 2019, designed to make building and managing real-life machine learning, artificial intelligence, and data science projects quick and efficient. The platform enables data scientists and engineers to develop workflows locally, scale seamlessly to cloud infrastructure, and deploy to production with minimal friction. Metaflow handles the complex infrastructure challenges of ML projects including dependency management, versioning, orchestration, and compute scaling. The framework has been battle-tested at Netflix powering demanding real-world ML and AI projects, and is now used by hundreds of companies across industries including 23andMe, CNN, and Realtor.com. Metaflow supports deployment across all major cloud providers including AWS, Azure, and Google Cloud, as well as on-premise Kubernetes clusters. The platform emphasizes a human-centric approach, allowing practitioners to use familiar Python libraries while automatically tracking experiments, versioning data, and managing the full lifecycle from notebook exploration to production deployment.