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metaflow.org

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

Developer ToolsFreeFree tier
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Saas
Company
Metaflow
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About metaflow.org

Metaflow is an open-source framework originally developed at Netflix for building and managing real-life ML, AI, and data science projects. It allows data scientists and ML/AI engineers to develop, debug, and deploy workflows in plain Python, leveraging cloud resources for scalable compute and data access. Metaflow integrates seamlessly with existing infrastructure, security, and data governance policies, supporting deployment on AWS, Azure, Google Cloud, and Kubernetes.

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.

Key Features

  • Orchestration of data science workflows
  • Versioning of data and variables
  • Scalable compute using cloud resources
  • Seamless deployment to production
  • Integration with existing infrastructure

Use Cases

  • Developing safe and reliable ML products
  • Accelerating ML experimentation
  • Improving data science processes
  • Powering diverse projects from GenAI to business-oriented data science

Key Features

Orchestration of data science workflows
Versioning of data and variables
Scalable compute using cloud resources
Seamless deployment to production
Integration with existing infrastructure

Pros & Cons

Pros
  • Open-source and free to use
  • Develop and debug locally, then deploy to production without code changes
  • Automatic versioning of data and variables for easy experiment tracking
  • Scalable compute on cloud with support for GPUs, multiple cores, and parallel execution
  • Seamless integration with existing infrastructure, security, and data governance
  • Battle-hardened at Netflix and adopted by hundreds of companies across industries
  • Supports multiple cloud providers (AWS, Azure, GCP) and Kubernetes
Cons
  • Cloud deployment requires setting up the Metaflow stack on your own cloud account or Kubernetes cluster
  • Primarily designed for Python users, limiting use for teams that rely on other languages

Best For

Developing safe and reliable ML productsAccelerating ML experimentationImproving data science processesPowering diverse projects from GenAI to business-oriented data science

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FAQ

What is Metaflow?
Metaflow is an open-source framework originally developed at Netflix for building and managing real-life ML, AI, and data science projects. It helps data scientists and ML/AI engineers develop, debug, and deploy workflows in plain Python, with built-in versioning, orchestration, and cloud scaling.
Is Metaflow free?
Yes, Metaflow is open-source and free to use. You can get started on a laptop and scale to the cloud by deploying the Metaflow stack on your own cloud account or Kubernetes cluster.
Which cloud providers does Metaflow support?
Metaflow supports AWS (EKS, S3, AWS Batch & Step Functions), Azure (AKS, Blob Storage), Google Cloud (GKE, Cloud Storage), and on-premise Kubernetes clusters.