Metaflow.org
2016Metaflow: Streamline Real-Life ML & AI Development
Effortlessly manage and deploy real-life ML, AI, and data science projects with Metaflow's open-source framework.
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United States of America
Powerful Features
Discover what makes Metaflow.org stand out from the competition
Python Library Integration
Utilize any Python libraries for modeling and business logic, both locally and in the cloud.
Seamless Deployment
Deploy workflows to production with a single command, integrating effortlessly with surrounding systems.
Automatic Versioning
Tracks and stores experiment variables automatically for easy tracking and debugging.
Robust Orchestration
Develop workflows in plain Python and deploy transitions with no changes required.
Cloud Compute Power
Leverage cloud resources to execute functions at scale, from GPUs to multiple cores.
Real-World Applications
See how Metaflow.org can transform your workflow and boost productivity
Machine Learning Engineers
Manage complex ML workflows, ensuring seamless integration into existing infrastructures.
Data Scientists
Efficiently iterate and deploy data models and experiments with scalable cloud resources.
Production Deployment
Deploy production-ready versions of models automatically reacting to updated data events.
Cross-Cloud Deployment
Deploy Metaflow configurations across major cloud services like AWS, Azure, and Google Cloud.
Collaboration
Organize projects for easy collaboration among team members, ensuring version control and resource management.
Final Thoughts
Originally developed at Netflix, Metaflow offers a battle-tested framework for building, deploying, and managing real-world ML and AI projects effectively.
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