generate random 3d points inside a given geometry
Components for generating random data series based on stochastic processes
Takes a set of points and creates a Triangulated Irregular Network.
[](https://discord.gg/poimandres)
Takes a set of points and partition them into clusters according to DBSCAN's data clustering algorithm.
Creates an interpolated grid of points using the Inverse Distance Weighting method.
Takes a set of points and partition them into clusters using the k-means algorithm.
High-performance 2D spatial index for rectangles (based on R*-tree with bulk loading and bulk insertion algorithms)
Generates random points, lines, or polygons for testing.
Measures patterns of attribute values associated with features. Reveals whether similar values tend to occur near each other, or whether high or low values are interspersed
Estimate points on a bezier curve or a set of connexted bezier curves
visx voronoi
Generate random numbers from various distributions.
visx delaunay
app-builder precompiled binaries
Estimate points on a SVG path
In-memory filesystem with Node.js fs-compatible API
js consistent hash ring
TypeScript definitions for d3-random
Fastest random ID and random string generation for Node.js
Generate contour lines from a grid of data.
generate random geojson features
Fast robust predicates for computational geometry
Convert a series of points to a monotone cubic spline