What is GraphScope used for?

GraphScope is Alibaba's open-source system for large-scale graph analytics, interactive queries and graph neural networks, driven from Python. It is a good fit for large-scale graph analytics and graph machine learning pipelines.

Is GraphScope open source?

Yes. GraphScope is open source under the Apache-2.0 licence. Its source code is on GitHub at alibaba/GraphScope and is written mainly in C++.

Yes. GraphScope is open source, so the software itself is free to use.

Can I self-host GraphScope?

Yes. GraphScope can be self-hosted on your own server or infrastructure.

What is GraphScope an alternative to?

GraphScope is an open-source alternative to TigerGraph. Other open-source alternatives to TigerGraph include NebulaGraph, Dgraph and ArangoDB.

Is GraphScope actively maintained?

Yes. The most recent commit to GraphScope was on 23 September 2026, and the latest release is v0.31.0, published on 27 January 2025. The project has 3.6k stars on GitHub.

GraphScope: open-source alternative to TigerGraph

About GraphScope

GraphScope is a unified distributed graph computing platform from Alibaba. It offers a single environment where many kinds of graph workloads run across a computer cluster, controlled from Python, so data scientists do not have to stitch several graph engines together.

It combines several Alibaba technologies: GRAPE for analytics, MaxGraph for interactive queries and Graph-Learn for graph neural network computation. The project also points to GraphScope Flex, a modular evolution described as LEGO-inspired. Repository topics list Gremlin, graph analytics, big data and data science. The engine is written in C++.

GraphScope is licensed under Apache-2.0 and is deployed on your own cluster, for example on Kubernetes. It suits teams working with very large graphs, such as social networks, knowledge graphs and fraud detection, who want analytics and machine learning in one system.

Key features

Distributed graph analytics
Interactive graph queries with Gremlin
Graph neural network training
Python interface for clusters
Built on GRAPE, MaxGraph and Graph-Learn
Modular GraphScope Flex variant

Good fit for

→Large-scale graph analytics
→Graph machine learning pipelines

Built with: C++
Tags: graph-computing; graph-analytics; gnn; distributed; big-data; alibaba; cpp; gremlin

GraphScope: questions and answers

What is GraphScope used for?: GraphScope is Alibaba's open-source system for large-scale graph analytics, interactive queries and graph neural networks, driven from Python. It is a good fit for large-scale graph analytics and graph machine learning pipelines.
Is GraphScope open source?: Yes. GraphScope is open source under the Apache-2.0 licence. Its source code is on GitHub at alibaba/GraphScope and is written mainly in C++.
Is GraphScope free?: Yes. GraphScope is open source, so the software itself is free to use.
Can I self-host GraphScope?: Yes. GraphScope can be self-hosted on your own server or infrastructure.
What is GraphScope an alternative to?: GraphScope is an open-source alternative to TigerGraph. Other open-source alternatives to TigerGraph include NebulaGraph, Dgraph and ArangoDB.
Is GraphScope actively maintained?: Yes. The most recent commit to GraphScope was on 23 September 2026, and the latest release is v0.31.0, published on 27 January 2025. The project has 3.6k stars on GitHub.