jlblancoc/nanoflann

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2670 stars · 525 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

nanoflann is a C++11 header-only library for fast nearest neighbor search using KD-trees. It is designed for efficient queries over point clouds and high-dimensional datasets without external dependencies.

Use cases

• find nearest neighbors in a point cloud
• kdtree search in C++ without dependencies
• fast kNN queries for 3D point data
• nearest neighbor search for robotics SLAM
• header-only spatial indexing library
• approximate and exact k-nearest-neighbor lookup

When to choose

• you need a lightweight, header-only C++ nearest neighbor library
• you work with point clouds or high-dimensional numeric data
• you want zero external dependencies and easy integration

When to avoid

• you need GPU-accelerated or distributed nearest neighbor search
• you need a full linear algebra or geometry processing library
• your data is non-numeric or requires custom distance metrics beyond supported ones

Facets

library · maturity stable

search-engine math developer-tools computer-vision robotics performance cpp cross-platform windows header-only kd-trees nearest-neighbor point-clouds c-plus-plus algorithms linux macos

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