flann-lib/flann
Fast Library for Approximate Nearest Neighbors observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5637
- days_rel: n/a
- days_push: 765
- n_releases_24m: 0
Adoption not part of the score
2373 stars · 662 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FLANN is a C++ library for fast approximate nearest neighbor searches in high-dimensional spaces. It bundles multiple search algorithms with automatic algorithm and parameter selection, plus bindings for C, MATLAB, Python, and Ruby.
Use cases
- find approximate nearest neighbors in high-dimensional data
- speed up kNN search for large feature datasets
- match image feature descriptors like SIFT
- automatically pick the best NN search algorithm and parameters
- use nearest neighbor search from Python or MATLAB
When to choose
- you need fast approximate NN search in C++ with multi-language bindings
- your dataset is high-dimensional and exact search is too slow
- you want automatic algorithm/parameter tuning out of the box
When to avoid
- you need exact nearest neighbor results
- you want a modern, actively developed library with recent features
- you need GPU-accelerated similarity search
Facets
library · maturity maintenance
search-engine machine-learning machine-learning computer-vision cpp python cross-platform nearest-neighbor-search ann knn high-dimensional bindings algorithms
1 source
- readme: https://github.com/flann-lib/flann · fetched 2026-08-28 · f8bdf87ea30e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| flann-lib/flann | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem