alibaba/GraphScope
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统 observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 96
- Release rhythm 28
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 59.5
- age_days: 2135
- days_rel: 583
- days_push: 29
- n_releases_24m: 3
Adoption not part of the score
3556 stars · 470 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
GraphScope is a unified distributed graph computing platform from Alibaba that combines graph analytics (GRAPE), interactive graph queries (MaxGraph/Gremlin/Cypher), and graph neural network training (Graph-Learn) in one system, backed by the Vineyard in-memory store. It exposes a Python interface and deploys on Kubernetes clusters for processing very large graphs.
Use cases
- run distributed graph analytics algorithms on large graphs
- query large graphs interactively with Gremlin or Cypher
- train graph neural networks on big graphs
- process graph data across a Kubernetes cluster from Python
- explore graphs in a Jupyter notebook
- benchmark interactive graph queries on LDBC SNB
- embed a lightweight graph database in a data lake pipeline
When to choose
- you need analytics, interactive queries, and GNN training over large graphs in one platform
- your graphs are too large for a single machine and you have a Kubernetes cluster
- you want a Python-first API for distributed graph computing
- you need high-performance interactive graph query throughput
When to avoid
- you only need a small single-node graph database for an application backend
- your team has no Kubernetes or distributed infrastructure experience
- you need a simple embedded graph store without distributed computing
- your workload is primarily relational or tabular rather than graph-shaped
Facets
framework · maturity active
database analytics machine-learning data-science streaming big-data data-science graph-processing microservices machine-learning databases analytics python cloud self-hosted graph-analytics graph-neural-networks gremlin cypher distributed-graph-computing vineyard graph-database networkx kubernetes docker linux macos
4 sources
- readme: https://github.com/alibaba/GraphScope · fetched 2026-08-28 · 9fbb1b5c197e
- homepage: https://graphscope.io · fetched 2026-08-29 · b1d975c539b5
- site_page: https://graphscope.io/docs · fetched 2026-08-29 · ee7a35823ccb
- site_page: https://graphscope.io/blog/tech/2026/06/01/NeuG-v0.1.2-Data-Pipeline.html · fetched 2026-08-29 · bfaa39f09d0c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| alibaba/GraphScope | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="alibaba/GraphScope")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem