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wenyuanyu authored Jul 20, 2023
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[![FAQ-zh](https://img.shields.io/badge/-FAQ%E4%B8%AD%E6%96%87-blue?logo=Read%20The%20Docs)](https://graphscope.io/docs/zh/frequently_asked_questions.html)
[![README-zh](https://shields.io/badge/README-%E4%B8%AD%E6%96%87-blue)](README-zh.md)

🎉 Check our ongoing work on [GraphScope Flex](flex/), a LEGO-like modular and user-friendly iteration of GraphScope.🎉
🎉 Explore our ongoing project, [GraphScope Flex](flex/) - a LEGO-inspired, modular, and user-friendly evolution of GraphScope. 🎉

GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simply by combining several important pieces of Alibaba technology: including [GRAPE](https://github.com/alibaba/libgrape-lite), [MaxGraph](interactive_engine/), and [Graph-Learn](https://github.com/alibaba/graph-learn) (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the [Vineyard](https://github.com/v6d-io/v6d) store that offers efficient in-memory data transfers.

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