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  7. Metaflow
Metaflow logo

Metaflow

Unclaimed

Build and manage real-life ML, AI, and data science projects with ease.

ETL & Data PipelinesAI Model DeploymentWorkflow Automation
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TL;DR - Metaflow

  • Open-source framework for building and managing ML/AI/data science projects.
  • Enables local development and debugging, with seamless scaling and deployment to cloud or on-premise.
  • Provides automatic versioning, dependency management, and robust workflow orchestration in Python.
Pricing: Free forever
Best for: Individuals & startups

Pricing

Free

Metaflow is completely free to use with no hidden costs.

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About Metaflow

Metaflow is an open-source framework designed to simplify the development and deployment of machine learning, artificial intelligence, and data science projects. It allows users to leverage Python libraries for modeling and business logic while handling dependencies both locally and in the cloud. The framework provides robust orchestration capabilities, enabling developers to create and debug workflows locally before deploying them to production with a single command, without code changes. Metaflow is built for ML/AI engineers and data scientists, offering features like automatic versioning of variables for experiment tracking and debugging, and seamless integration with cloud compute resources (GPUs, multiple cores, large memory) for scalable execution. It supports various cloud providers like AWS, Azure, and Google Cloud, as well as Kubernetes for on-premise deployments, integrating with existing infrastructure and security policies. The framework was originally developed at Netflix to address the demands of real-world ML projects and is now used by hundreds of companies for diverse applications, from GenAI to business-oriented data science.

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Metaflow FAQ

Metaflow is an open-source framework for building and managing real-life machine learning, artificial intelligence, and data science projects. It helps data scientists and ML engineers develop, scale, and deploy their workflows using Python, handling aspects like dependency management, versioning, and cloud compute integration.

Metaflow is an open-source framework, meaning it is free to use. Users may incur costs related to the underlying cloud infrastructure (e.g., AWS, Azure, Google Cloud) or on-premise Kubernetes clusters they use to run Metaflow.

Yes, Metaflow is open-source and free to use. There are no licensing costs associated with the framework itself.

Metaflow is designed for ML/AI engineers and data scientists who need to build, manage, and deploy robust and scalable machine learning and data science workflows. It is suitable for individuals and teams working on demanding, real-life ML/AI projects, from experimentation to production.

Quick Info

Pricing
Free
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Alternatives

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ClearML logo

ClearML

Open-source MLOps platform for experiment tracking

MLflow logo

MLflow

Open-source MLOps platform

Prefect logo

Prefect

Modern workflow orchestration platform

Compare Metaflow

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