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delaunator

> 编程语言
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An incredibly fast JavaScript library for Delaunay triangulation of 2D points

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An incredibly fast JavaScript library for Delaunay triangulation of 2D points

Delaunator

An incredibly fast and robust JavaScript library for Delaunay triangulation of 2D points.

  • Interactive Demo
  • Guide to data structures

Projects based on Delaunator

  • d3-delaunay for Voronoi diagrams, search, traversal and rendering (a part of D3).
  • d3-geo-voronoi for Delaunay triangulations and Voronoi diagrams on a sphere (e.g. for geographic locations).

Example

javascript
const coords = [377,479,  453,434,  326,387,  444,359,  511,389,
                586,429,  470,315,  622,493,  627,367,  570,314];
const delaunay = new Delaunator(coords);
console.log(delaunay.triangles);
// [4,3,1,  4,6,3,  1,5,4,  4,9,6,  2,0,1,  1,7,5,
//  5,9,4,  6,2,3,  3,2,1,  5,8,9,  0,7,1,  5,7,8]

Install

Install with NPM (npm install delaunator) or Yarn (yarn add delaunator), then import as an ES module:

javascript
import Delaunator from 'delaunator';

To use as a module in a browser:

xml
<script type="module">
    import Delaunator from 'https://cdn.skypack.dev/[email protected]';
</script>

Or use a browser UMD build that exposes a Delaunator global variable:

xml
<script src="https://unpkg.com/[email protected]/delaunator.min.js"></script>

API Reference

new Delaunator(coords)

Constructs a delaunay triangulation object given an array of point coordinates of the form: [x0, y0, x1, y1, ...] (use a typed array for best performance).

Delaunator.from(points[, getX, getY])

Constructs a delaunay triangulation object given an array of points ([x, y] by default). getX and getY are optional functions of the form (point) => value for custom point formats. Duplicate points are skipped.

delaunay.triangles

A Uint32Array array of triangle vertex indices (each group of three numbers forms a triangle). All triangles are directed counterclockwise.

To get the coordinates of all triangles when using Delaunator.from(points), use:

javascript
for (let i = 0; i < triangles.length; i += 3) {
    coordinates.push([
        points[triangles[i]],
        points[triangles[i + 1]],
        points[triangles[i + 2]]
    ]);
}

To get the coordinates of all triangles when using new Delaunator(coords), use:

javascript
for (let i = 0; i < triangles.length; i += 3) {
    coordinates.push([
        [coords[2 * triangles[i]],     coords[2 * triangles[i] + 1]],
        [coords[2 * triangles[i + 1]], coords[2 * triangles[i + 1] + 1]],
        [coords[2 * triangles[i + 2]], coords[2 * triangles[i + 2] + 1]]
    ]);
}

delaunay.halfedges

A Int32Array array of triangle half-edge indices that allows you to traverse the triangulation. i-th half-edge in the array corresponds to vertex triangles[i] the half-edge is coming from. halfedges[i] is the index of a twin half-edge in an adjacent triangle (or -1 for outer half-edges on the convex hull).

The flat array-based data structures might be counterintuitive, but they're one of the key reasons this library is fast.

delaunay.hull

A Uint32Array array of indices that reference points on the convex hull of the input data, counter-clockwise.

delaunay.coords

An array of input coordinates in the form [x0, y0, x1, y1, ....], of the type provided in the constructor (or Float64Array if you used Delaunator.from).

delaunay.update()

Updates the triangulation if you modified delaunay.coords values in place, avoiding expensive memory allocations. Useful for iterative relaxation algorithms such as Lloyd's.

Performance

Benchmark results against other Delaunay JS libraries (npm run bench on Macbook Pro Retina 15" 2017, Node v10.10.0):

  uniform 100k gauss 100k grid 100k degen 100k uniform 1 million gauss 1 million grid 1 million degen 1 million
delaunator 82ms 61ms 66ms 25ms 1.07s 950ms 830ms 278ms
faster‑delaunay 473ms 411ms 272ms 68ms 4.27s 4.62s 4.3s 810ms
incremental‑delaunay 547ms 505ms 172ms 528ms 5.9s 6.08s 2.11s 6.09s
d3‑voronoi 972ms 909ms 358ms 720ms 15.04s 13.86s 5.55s 11.13s
delaunay‑fast 3.8s 4s 12.57s timeout 132s 138s 399s timeout
delaunay 4.85s 5.73s 15.05s timeout 156s 178s 326s timeout
delaunay‑triangulate 2.24s 2.04s OOM 1.51s OOM OOM OOM OOM
cdt2d 45s 51s 118s 17s timeout timeout timeout timeout

Papers

The algorithm is based on ideas from the following papers:

  • A simple sweep-line Delaunay triangulation algorithm, 2013, Liu Yonghe, Feng Jinming and Shao Yuehong
  • S-hull: a fast radial sweep-hull routine for Delaunay triangulation, 2010, David Sinclair
  • A faster circle-sweep Delaunay triangulation algorithm, 2011, Ahmad Biniaz and Gholamhossein Dastghaibyfard

Robustness

Delaunator should produce valid output even on highly degenerate input. It does so by depending on robust-predicates, a modern port of Jonathan Shewchuk's robust geometric predicates, an industry standard in computational geometry.

Ports to other languages

  • delaunator-rs (Rust)
  • fogleman/delaunay (Go)
  • delaunator-cpp (C++)
  • delaunator-sharp (C#)
  • delaunator-ruby (Ruby)
  • Delaunator-Python (Python)
  • torch-delaunay (Python/Torch)
  • ricardomatias/delaunator (Kotlin)
  • delaunator-java (Java)
  • delaunay-Stata (Stata/Mata)
  • Delaunator.jl (Julia)

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> Tags

JavaScript2dalgorithmcomputational-geometrydelaunay

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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