Highly scalable, extremely fast, easy-to-use embeddable graph database

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Project description

Ladybug

Ladybug is an embedded graph database built for query speed and scalability. Ladybug is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

Flexible Property Graph Data Model and Cypher query language
Embeddable, serverless integration into applications
Native full text search and vector index
Columnar disk-based storage
Columnar sparse row-based (CSR) adjacency list/join indices
Vectorized and factorized query processor
Novel and very fast join algorithms
Multi-core query parallelism
Serializable ACID transactions
Wasm (WebAssembly) bindings for fast, secure execution in the browser

Ladybug is being developed by LadybugDB Developers and is available under a permissible license. So try it out and help us make it better! We welcome your feedback and feature requests.

The database was formerly known as Kuzu.

Installation

[!WARNING] Many of these binary installation methods are not functional yet. We need to work through package names, availability and convention issues. For now, use the build from source method.

Language	Installation
Python	`pip install real_ladybug`
NodeJS	`npm install lbug`
Rust	`cargo add lbug`
Go	`go get github.com/lbugdb/go-lbug`
Swift	lbug-swift
Java	Maven Central
C/C++	precompiled binaries
CLI	precompiled binaries

To learn more about installation, see our Installation page.

Getting Started

Refer to our Getting Started page for your first example.

Build from Source

You can build from source using the instructions provided in the developer guide.

Contributing

We welcome contributions to Ladybug. If you are interested in contributing to Ladybug, please read our Contributing Guide.

License

By contributing to Ladybug, you agree that your contributions will be licensed under the MIT License.

Contact

You can contact us at social@ladybugdb.com or join our Discord community.

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0.15.0.dev1 pre-release

Mar 1, 2026

0.12.0.dev5 pre-release

Mar 4, 2026

0.12.0.dev4 pre-release

Mar 1, 2026

0.12.0.dev3 pre-release

Jan 29, 2026

0.12.0.dev2 pre-release

Nov 13, 2025

This version

0.12.0.dev1 pre-release

Nov 13, 2025

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