# LadybugDB/ladybug

LadybugDB a graph database

Repository: https://github.com/LadybugDB/ladybug
Canonical: https://ross.abutalabs.com/products/ladybug
Homepage: https://ladybugdb.com/
Language: C++
License: MIT
License Family: permissive
Topics: database, graph, cypher, cypher-query-language, code-knowledge-base, code-knowledge-graph, knowledge-graph
Last push: 2026-08-26T14:21:49+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 96, longevity 23
- inputs: {"age_days": 330, "days_push": 7, "days_rel": 29, "gap_med": 8, "n_releases_24m": 22}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1668, forks 132 (observed 2026-08-28T04:05:19.054442+00:00)

## What it is
Ladybug is an embedded, serverless graph database (a community successor to Kuzu) written in C++, using a property graph data model and the Cypher query language. It features columnar storage, vectorized query execution, ACID transactions, full-text search, vector indices, and client bindings for Python, Node.js, Rust, Go, Swift, Java, C/C++, and WebAssembly.

## Use cases
- run analytical Cypher queries on large graphs inside my application
- embed a graph database without running a server
- store and query knowledge graphs of code or documents
- add vector similarity search to graph data for RAG
- replace KuzuDB after its development stopped
- query graph data from Python or Node.js
- run graph analytics on Parquet or Arrow data
- build agentic AI apps with an embedded graph store

## When to choose
- you need an embedded, dependency-free graph database with Cypher support
- you run join-heavy analytical workloads on large graphs
- you want full-text and vector search alongside graph queries
- you need a maintained KuzuDB successor
- you want in-process ACID transactions with multi-core parallelism

## When to avoid
- you need a distributed, multi-node graph database server
- you primarily need simple relational queries better served by DuckDB or SQLite
- you need a mature ecosystem of graph visualization tooling
- you require long-term enterprise support guarantees from a large vendor

## Facets
- artifact type: library
- maturity: active
- function: database, search-engine, vector-database, cli
- domain: databases, developer-tools, artificial-intelligence, data-science
- platform: cross-platform, python, rust, go, jvm, cpp, wasm, cli
- tags: graph-database, cypher, embedded-database, columnar-storage, property-graph, knowledge-graph, kuzu-successor, acid-transactions, full-text-search, vector-index, nodejs

## Member repositories
- LadybugDB/ladybug (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:19.054442+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:42:48.507240+00:00, confidence not recorded.
  - readme: https://github.com/LadybugDB/ladybug (fetched 2026-08-28T04:05:19.054442+00:00, sha 2ee75e132bd4)
  - homepage: https://ladybugdb.com/ (fetched 2026-08-29T11:16:05.867171+00:00, sha f3f4be541bf7)
  - site_page: https://docs.ladybugdb.com (fetched 2026-08-29T11:16:05.876261+00:00, sha adec11cab2c0)
- Data as of 2026-08-30T08:39:29.467469+00:00.