RBush — a high-performance JavaScript R-tree-based 2D spatial index for points and rectangles
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Updated
Sep 24, 2024 - JavaScript
RBush — a high-performance JavaScript R-tree-based 2D spatial index for points and rectangles
A very fast static spatial index for 2D points and rectangles in JavaScript 🌱
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
A fast static index for 2D points
Boost.Geometry - Generic Geometry Library | Requires C++14 since Boost 1.75
2D polyline library for offsetting, combining, etc.
The fastest spatial index for geographic locations in JavaScript
Interactive details-on-demand data visualizations at scale
RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates
A dynamic, loose octree implementation written in C# as a .NET Standard 2.1 library
Templated hierarchical spatial trees designed for high-peformance.
PH-Tree
Java utilities for transforming distance along N-dimensional Hilbert Curve to a point and back. Also supports range splitting queries on the Hilbert Curve.
RBush-3D — a high-performance JavaScript R-tree-based 3D spatial index for points and cuboids
🌐 Search for nearby locations without DB usage.
GeoJSON implementation of RBush — a high-performance JavaScript R-tree-based 2D spatial index for points and rectangles
Zinc is a C++ library for spatial processing.
An elixir implementation of Rtree, optimized for fast updates.
Simple non-academic performance comparison of available open source implementations of R-tree spatial index using linear, quadratic and R* balancing algorithms as well as bulk loading.
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