macOS
Homebrewverified · 100%
brew install flannprovider-native install command
brew / rank 1202
Install flann with Homebrew
Fast Library for Approximate Nearest Neighbors. Version 1.9.2 via Homebrew; verified from local package data.
install
Additional install commands
overview
Package summary
Fast Library for Approximate Nearest Neighbors
Project links
Commands and aliases
- flann_example_c
- flann_example_cpp
history
Project history and usage
FLANN, the Fast Library for Approximate Nearest Neighbors, is a C++ library for fast approximate nearest-neighbor search in high-dimensional spaces. Its README describes both a collection of nearest-neighbor algorithms and automatic selection of an algorithm and parameters for a given dataset.
Project history
The public repository history begins in 2007, and the project was documented academically in the 2009 Muja and Lowe VISAPP paper on automatic algorithm configuration for approximate nearest neighbors. The project later exposed C, MATLAB, Python, and Ruby bindings around the C++ implementation, making the research code useful as a packaged native library rather than only as an experiment.
Adoption history
FLANN became a common dependency in scientific, machine-learning, and computer-vision packaging because it provides a reusable native nearest-neighbor engine with bindings. Homebrew packages it as a formula, while the official README points users to release archives and source checkout for development.
How it is used
Users bring FLANN into applications that need approximate nearest-neighbor lookup over feature vectors or other high-dimensional data. The bundled package executables are examples; the main package value is the library and its language bindings.
Why package nerds care
FLANN is package-nerd interesting because it is classic research software that became infrastructure: a C++ core, language bindings, release archives, example binaries, and packaging concerns around native builds rather than a single end-user CLI.
Timeline
- 2007: Initial public repository import.
- 2009: Muja and Lowe publish the FLANN algorithm-configuration paper.
- 2012: 1.8.0 source tag appears in the public git history.
- 2021: 1.9.2 tag appears in the public git history.
Related projects
- The official README ties FLANN to its C, MATLAB, Python, and Ruby bindings, and to approximate nearest-neighbor research rather than to a single desktop application.
Sources
security posture
Risk level: green
library-like package without higher-risk signals.
Risk classifier
green risk · low confidence · appliance
Why
- library-like package without higher-risk signals
Signals
- metadata:library-like
Install behavior
- No Homebrew bottle metadata was recorded.
Recommended review
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
Installed executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
flann_example_c | executable | indexed executable | Discovered from the local executable index. |
flann_example_cpp | executable | indexed executable | Discovered from the local executable index. |
freshness
Version and freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
page generated2026-08-03
manager version1.9.2
manager updated
local dataunknown
upstreamnot available
latest detectednot detected
- okNo freshness warnings were generated.
install metadata
Package metadata
| Package key | brew:flann |
|---|---|
| Version | 1.9.2 |
| Package manager | Homebrew |
| Homepage | https://github.com/flann-lib/flann |
| Repository | https://github.com/flann-lib/flann |
| Bottle | not recorded |
| Service | none declared |
source trail
Generated from repository data
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Used sources
- Geiger risk classifier
- Nucleus package database
- curated package history
- pkgdb category and tag curation