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Annoy
productVector Search Library
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Overview
Developed byErik Bernhardsson
Maintained bySpotify
LicenseApache License 2.0
Open source✓ Open Source
Primary languageC++
Use caseapproximate nearest neighbors search
Also see
Alternative to
FLANNFaiss
Based onrandom projection trees
Competes with
Milvus
Knowledge graph stats
Claims46
Avg confidence92%
Avg freshness100%
Last updatedUpdated 5 days ago
Trust distribution
100% unverified
Governance
Not assessed
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Annoy

product

Approximate Nearest Neighbors Oh Yeah library by Spotify for fast similarity search.

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supports language binding

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

pricing model

ValueTrustConfidenceFreshnessSources
free○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
approximate nearest neighbors search○UnverifiedHighFresh1
approximate nearest neighbor search○UnverifiedHighFresh1

supports language

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1
Lua○UnverifiedModerateFresh1
Java○UnverifiedModerateFresh1

license type

ValueTrustConfidenceFreshnessSources
Apache License 2.0○UnverifiedHighFresh1

installable via

ValueTrustConfidenceFreshnessSources
pip○UnverifiedHighFresh1

supports metric

ValueTrustConfidenceFreshnessSources
cosine distance○UnverifiedHighFresh1
cosine similarity○UnverifiedHighFresh1
angular distance○UnverifiedHighFresh1
euclidean distance○UnverifiedHighFresh1
manhattan distance○UnverifiedHighFresh1

supports distance metric

ValueTrustConfidenceFreshnessSources
angular distance○UnverifiedHighFresh1
cosine distance○UnverifiedHighFresh1
Euclidean distance○UnverifiedHighFresh1
cosine similarity○UnverifiedHighFresh1
manhattan distance○UnverifiedHighFresh1

programming language

ValueTrustConfidenceFreshnessSources
C++○UnverifiedHighFresh1

uses algorithm

ValueTrustConfidenceFreshnessSources
random projection trees○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Erik Bernhardsson○UnverifiedHighFresh1
Spotify○UnverifiedHighFresh1

maintained by

ValueTrustConfidenceFreshnessSources
Spotify○UnverifiedHighFresh1
Erik Bernhardsson○UnverifiedHighFresh1

memory mapped

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

written in

ValueTrustConfidenceFreshnessSources
C++○UnverifiedHighFresh1

created by

ValueTrustConfidenceFreshnessSources
Erik Bernhardsson○UnverifiedHighFresh1

algorithm type

ValueTrustConfidenceFreshnessSources
random projection trees○UnverifiedHighFresh1

algorithm based on

ValueTrustConfidenceFreshnessSources
random projection trees○UnverifiedHighFresh1

memory maps indexes

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

used by

ValueTrustConfidenceFreshnessSources
Spotify○UnverifiedHighFresh1

based on

ValueTrustConfidenceFreshnessSources
random projection trees○UnverifiedHighFresh1

optimized for

ValueTrustConfidenceFreshnessSources
memory usage○UnverifiedHighFresh1
static datasets○UnverifiedHighFresh1
read-only operations○UnverifiedHighFresh1
memory efficiency○UnverifiedModerateFresh1

thread safe

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

optimization focus

ValueTrustConfidenceFreshnessSources
memory efficiency○UnverifiedHighFresh1

memory efficient

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

competes with

ValueTrustConfidenceFreshnessSources
Milvus○UnverifiedModerateFresh1

alternative to

ValueTrustConfidenceFreshnessSources
FLANN○UnverifiedModerateFresh1
Faiss○UnverifiedModerateFresh1

used for

ValueTrustConfidenceFreshnessSources
music recommendation○UnverifiedModerateFresh1
music recommendation systems○UnverifiedModerateFresh1

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Claim count: 46Last updated: 4/5/2026Edit history