lancedb

Library Featured

LanceDB: A serverless, low-latency vector database for AI applications

Checked · Sources

Downloads
615,090
Dependents
102
Stars
11,863
Forks
1,155
Contributors
304
Commits
3,502
Latest release
0.41.0 ·

About

From the project README ·

LanceDB

The Multimodal Lakehouse for AI

How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors

The ultimate multimodal data platform for AI/ML applications.

LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.

Demo: Multimodal Search by Keyword, Vector or with SQL

Star LanceDB to get updates!

⭐ Click here ⭐ to see how fast we're growing!

Key Features:

  • Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
  • Comprehensive Search: Support for vector similarity search, full-text search and SQL.
  • Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
  • Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Read the full README
Products:
  • LanceDB Embedded (open source): 100% open source, runs in your application's process; your data can live on local disk or in object storage. No vendor lock-in.
  • LanceDB Enterprise: Production-scale distributed search, indexing, and maintenance. Plus, complete data sovereignty and security.
Ecosystem:
  • Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
  • Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
  • Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.

How to Install:

Follow the Quickstart doc to set up LanceDB locally.

API & SDK: We also support Python, Typescript and Rust SDKs

InterfaceDocumentation
Python SDKhttps://lancedb.github.io/lancedb/python/python/
Typescript SDKhttps://lancedb.github.io/lancedb/js/globals/
Rust SDKhttps://docs.rs/lancedb/latest/lancedb/index.html
REST APIhttps://docs.lancedb.com/api-reference/rest

Join Us and Contribute

We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.

If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.

Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.

Contributors

Stay in Touch With Us

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
None found
  • No native code found
Python bindings
No Python binding crate found
License
Apache-2.0

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

lancedb beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
lancedb This page Featured

LanceDB: A serverless, low-latency vector database for AI applications

615,090 downloads over 30 days 102 11,863 0.41.0 GPU support unknown No native code found Apache-2.0
surrealdb Featured

A scalable, distributed, collaborative, document-graph database, for the realtime web

197,581 downloads over 30 days 162 33,296 4.0.0 GPU support unknown Binds native code: ring, openssl-sys (feature native-tls) Not measured
qdrant App Featured

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

34,017 binary downloads per release Not applicable 35,478 Not measured Not measured Apache-2.0
splintr Listed

Tokenizer for Rust and Python: pure Rust by default, with 18 bundled vocabularies and four backends covering BPE, SentencePiece and WordPiece. Its output matches Hugging Face tokenizers id for id on 14 model families, including GPT-2, Qwen, Whisper, T5 and BERT.

Python bindings

8,204 downloads over 30 days 7 63 0.22.2 GPU support unknown Binds native code: pcre2-sys (feature pcre2) MIT

[H] HyperspaceDB is a high-performance, vector database. It features 1-bit quantization, async replication, and native support for hierarchical datasets (Lorentz, Poincaré ball & Hybrid models).

96 downloads over 30 days 3 163 4.2.0 GPU support unknown Binds native code: ort-sys (feature local-onnx) MIT
edgevec Listed

High-performance embedded vector database for Browser, Node, and Edge

14 downloads over 30 days 1 100 0.9.0 GPU support unknown No native code found Apache-2.0 OR MIT
chromadb-rs Archived

A Rust client library for the ChromaDB vector database.

3,548 downloads over 30 days 7 46 2.3.0 GPU support unknown No native code found MIT
Why FeaturedIt passes every Featured gate.

What it meets

  • It has 63 active dependents and 60 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days.
  • Active dependents are at 99% of their peak. Featured needs at least 50%.
  • Docs are present. The release commit or a manifest ties the crate to the repository.
  • No vulnerability advisory stays unpatched past the grace window. At least one version is neither a prerelease nor 0.0.x.
  • The last activity is on 8 Nov 2026, 1 day ago. The rules expect an update within 560 days. Dormancy rule

Exact rules: Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.41.0 base 140, doubled for 615090 downloads per month, doubled for 62.67 active users: E = 560 days
  • dormancy: last activity 2026-11-08, 1 days ago, E = 560: active
  • featured: featured: active_users 62.67, new_adopters 60, former_glory 0.99
Crates2 crates

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption63 active dependents, 60 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents62.6667crates.io database dumpYes
New dependents (365 days)60crates.io database dumpYes
Peak active dependents64.1667crates.io database dumpYes
Active dependents as a share of the peak0.9933crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 1 day ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2026-11-08GitHub repositoryYes
Latest release2026-10-29crates.io database dumpYes
First release2023-03-18crates.io database dumpYes
Latest version0.41.0crates.io database dumpYes
Days the oldest outside issue waits for a reply17GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementnonecrates.io database dumpYes
Distribution59 releases, 615,090 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases59crates.io database dumpYes
Downloads over 30 days615090crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository11,863 stars, 1,155 forks, 304 contributors, 3,502 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars11863GitHub repositoryYes — one part of the repository route
GitHub forks1155GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account304GitHub contributorsYes — one part of the repository route
Commits on the default branch3502GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseApache-2.0crates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesNo native code foundcrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly102crates.io database dumpNo

Corrections and review history

Report a correction

No correction applies to this entry.

Judgments

A judgment enters only through an approved issue and a merged pull request.

No judgment applies to this entry.