{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/3"}],"enrichment":{"capability":"Kuzu is an embedded graph database that executes Cypher queries on property graphs, supporting full-text search and vector indices without requiring a separate server process.","skillfed_tags":["graph-database","embedded","cypher-query"],"use_cases":["Build a recommendation engine by storing user-product relationships and querying graph patterns to find similar users or products.","Analyze knowledge graphs or ontologies embedded in your application without deploying a separate database service.","Perform full-text and vector similarity search on documents or embeddings stored as graph nodes.","Run complex analytical queries on social networks, supply chains, or other highly connected datasets within a single process.","Prototype graph-based features in a Python application before migrating to a production graph database."],"what_it_does":"Kuzu is an embedded graph database designed to run inside your application without a separate server. It stores data as property graphs (nodes and edges with attributes) and queries them using Cypher, a declarative graph query language. The database is optimized for analytical workloads on large graphs, offering features like full-text search, vector indices for similarity queries, and ACID transactions. It uses columnar storage and specialized join algorithms to achieve fast query execution across multiple CPU cores.\n\nThe package provides a Python binding to the Kuzu engine. You embed it directly in your application, point it to a local data directory, and issue Cypher queries programmatically. As of version 0.11.3, four commonly used extensions (algo, fts, json, vector) are pre-installed; earlier versions or additional extensions require setting up a local extension server. The project is now archived, meaning the maintainers have moved to a new initiative, but existing code using prior releases continues to work without modification.","worth_installing":"Yes, if you need an embedded graph database for analytical workloads and can accept that the project is archived. The MIT license, zero runtime dependencies, and broad platform support make it low-friction to try. However, be aware that the maintainers are no longer actively developing new features\u2014use it for stable, well-tested workloads, not for cutting-edge functionality or if you require ongoing vendor support."},"id":"kuzu","links":{"html":"https://skillfed.io/packages/kuzu","md":"https://skillfed.io/packages/kuzu.md","pypi":"https://pypi.org/project/kuzu/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2025-10-10","license_spdx":null,"license_treatment":"permissive","name":"kuzu","python_support":"unspecified","summary":"Highly scalable, extremely fast, easy-to-use embeddable graph database"},"popularity":{"monthly_downloads":436393,"position":6676,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.11.3"}