# neug **Repository Path**: alibaba/neug ## Basic Information - **Project Name**: neug - **Description**: No description available - **Primary Language**: Unknown - **License**: CC0-1.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-03-03 - **Last Updated**: 2026-07-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

NeuG
A Graph Database for HTAP Workloads

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--- **NeuG** (pronounced "new-gee") is a graph database for HTAP (Hybrid Transactional/Analytical Processing) workloads. It provides **two modes** that you can switch between based on your needs: - **Embedded Mode**: Optimized for analytical workloads including bulk data loading, complex pattern matching, and graph analytics - **Service Mode**: Optimized for transactional workloads for real-time applications and concurrent user access For more information, please refer to the [NeuG documentation](https://graphscope.io/neug/en/overview/introduction/). ## News - **2026-06** — NeuG v0.1.3: [GDS extensions](https://graphscope.io/neug/en/extensions/load_gds/), [`COPY TEMP`](https://graphscope.io/neug/en/data_io/import_data/), [Node.js client](https://graphscope.io/neug/en/reference/nodejs_api/) - **2026-05** — NeuG v0.1.2: [`LOAD FROM`](https://graphscope.io/neug/en/data_io/load_data/), [Parquet](https://graphscope.io/neug/en/extensions/load_parquet/) & [HTTPFS](https://graphscope.io/neug/en/extensions/load_httpfs/) extensions - **2026-03** — NeuG v0.1 released - **2025-06** — Shattered [LDBC SNB Interactive Benchmark world record](https://graphscope.io/blog/tech/2025/06/12/graphscope-flex-achieved-record-breaking-on-ldbc-snb-interactive-workload-declarative) with 80,000+ QPS ## Installation The packages work on Linux, macOS, and Windows (via WSL2). For more detailed instructions (including C++ from source), see the [installation guide](https://graphscope.io/neug/en/installation/installation).
Python  ·  requires Python 3.8+ ```bash pip install neug ```
Node.js  ·  requires Node.js 18+  (since v0.1.3) ```bash npm install @graphscope-neug/neug ```
## Quick Example
Python ```python import neug db = neug.Database("/path/to/database") db.load_builtin_dataset("tinysnb") conn = db.connect() # Find triangles in the graph result = conn.execute(""" MATCH (a:person)-[:knows]->(b:person)-[:knows]->(c:person), (a)-[:knows]->(c) RETURN a.fName, b.fName, c.fName """) for record in result: print(f"{record[0]}, {record[1]}, {record[2]} are mutual friends") # Switch to service mode conn.close() db.serve(port=8080) ```
Node.js ```javascript const { Database } = require('@graphscope-neug/neug'); const db = new Database({ databasePath: '', mode: 'w' }); const conn = db.connect(); conn.execute("CREATE NODE TABLE person(id INT64, fName STRING, PRIMARY KEY(id));"); conn.execute("CREATE REL TABLE knows(FROM person TO person);"); conn.execute("CREATE (:person {id: 1, fName: 'Alice'}), (:person {id: 2, fName: 'Bob'}), (:person {id: 3, fName: 'Carol'});"); conn.execute("MATCH (a:person {id: 1}), (b:person {id: 2}), (c:person {id: 3}) CREATE (a)-[:knows]->(b), (b)-[:knows]->(c), (a)-[:knows]->(c);"); // Find triangles in the graph const result = conn.execute(` MATCH (a:person)-[:knows]->(b:person)-[:knows]->(c:person), (a)-[:knows]->(c) RETURN a.fName, b.fName, c.fName `); for (const record of result) { console.log(`${record[0]}, ${record[1]}, ${record[2]} are mutual friends`); } conn.close(); db.close(); ```
## Development & Contributing For building NeuG from source, see the [Development Guide](./doc/source/development/dev_guide.md). We welcome contributions — please read the [Contributing Guide](./CONTRIBUTING.md) before submitting issues or pull requests.
AI-Assisted Workflow We apply an AI-assisted **Spec-Driven** workflow inspired by [GitHub Spec-Kit](https://github.com/github/spec-kit): - 🐛 **Bug Reports**: Use `/create-issue` command in your IDE, or [submit an issue](https://github.com/alibaba/neug/issues) manually - 💻 **Pull Requests**: Use `/create-pr` command in your IDE, or [submit a PR](https://github.com/alibaba/neug/pulls) manually For more details, see the [AI-Assisted Development Guide](./doc/source/development/ai_coding.md).
## Acknowledgements NeuG builds upon the excellent work of the open-source community. We would like to acknowledge: - **[Kùzu](https://github.com/kuzudb/kuzu/)**: Our C++ Cypher compiler is adapted from Kùzu's implementation - **[DuckDB](https://duckdb.org/)**: Our runtime value system and extension framework are inspired by DuckDB's architecture ## License NeuG is distributed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).