# FLANN

> Fast Library for Approximate Nearest Neighbors containing a collection of algorithms optimized for nearest neighbor search in high dimensional spaces with automatic algorithm and parameter selection.

- **URL:** https://github.com/flann-lib/flann
- **Category:** SDKs & Libraries
- **Tags:** Ann, Open Source, cpp
- **Updated:** 2026-03-13 12:21
- **Canonical page:** https://vectordb.ever.works/pl/items/flann

## Details

## Overview

FLANN (Fast Library for Approximate Nearest Neighbors) is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset.

## Programming Language Support

FLANN is written in C++ and contains bindings for:
- C
- MATLAB
- Python
- Ruby

## Key Features

### Automatic Algorithm Selection

The library automatically chooses the best algorithm and optimum parameters depending on the dataset characteristics, making it easy to use for various applications.

### Multiple Algorithms

Contains a collection of algorithms that have been found to work best for nearest neighbor search across different types of high-dimensional data.

## Use Cases

- Computer vision applications
- Machine learning workflows
- High-dimensional data analysis
- Image and pattern recognition

## Documentation

Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.

## Pricing

Free and open-source under LGPL license.

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