A JavaScript library with geometric functions.
TypeScript definitions for geometric
Geometric distributed pseudorandom numbers.
Toolkit for mapping elements of sets into geometric objects.
Determines the geometric center of a polygon or shape.
Manrope font - modern geometric sans-serif
Computes the geometric mean of an array.
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Geometric sans-serif typeface to adorn the headlines and interfaces of Cal.com
Geometric distribution probability mass function (PMF).
estimate the numeric value of a robust geometric predicate
An Angular library for 2D geometric computations, providing classes and utilities for manipulating points, lines, vectors, rectangles, arcs, and transformations.
Geometric distribution mode.
Geometric distribution variance.
TypeScript Geometric Algebra generator
80+ Geometric background patterns for TailwindCSS
Geometric distribution entropy.
Geometric distribution median.
Geometric distribution skewness.
Library for 2D and 3D geometric types.
Geometric distribution quantile function.
This repository contains a collection of TypeScript utility functions for geometric calculations, primarily focused on line intersection and distance calculations.
Geometric distribution excess kurtosis.
Simple geometric system built on top of Three.js to display 3D BIM data efficiently.
A very simple vector and matrix library built on the vecmath crate.
Geometric network analysis using Clifford algebra and tropical algebra
Advanced mathematical computing library with geometric algebra, tropical algebra, and automatic differentiation
geometric number library supporting unlimited dimensions with O(1) complexity
A comprehensive computational framework for the Geometric Langlands Conjecture with neural-symbolic integration, CLI tools, WASM deployment, and CUDA acceleration
Statistics, Information Measures, Data Analysis, Linear Algebra, Clifford Algebra, Machine Learning, Geometric Median, Matrix Decompositions, Mahalanobis Distance, Hulls, Multithreading..
A 2d vector math library using 2d projective geometric algebra! Designed to be programmer-friendly, specifically because I wanted to use PGA in game development. Development is ongoing.
Cellular automata, inverse design, and self-assembly using geometric algebra
Transform images into geometric art.
GPU acceleration for mathematical computations
Distributed consensus protocols using geometric algebra
PyO3 (Rust) interface to geomeTRIC (molecular structure geometry optimization program)
Methods for geometric transformations
Geometric primitives and algorithms for Ruby
This library defines 3D geometric elements(point, line, plane etc..). It can get two(or more) elements relation, like distance between two elements.
Perfect Shape is a collection of pure Ruby geometric algorithms that are mostly useful for GUI manipulation like checking viewport rectangle intersection or containment of a mouse click point in popular geometry shapes such as rectangle, square, arc (open, chord, and pie), ellipse, circle, polygon, and paths containing lines, quadratic bézier curves, and cubic bezier curves, potentially with affine transforms applied like translation, scale, rotation, shear/skew, and inversion (including both the Ray Casting Algorithm, aka Even-odd Rule, and the Winding Number Algorithm, aka Nonzero Rule). Additionally, it contains some purely mathematical algorithms like IEEEremainder (also known as IEEE-754 remainder).
performs hierarchical clustering on geometric points
Geometric primitives and algorithms for Ruby
Geometric primitives and algorithms for Ruby
Geometric primitives and algorithms for Ruby
Basic Geometric primitives and algoritms for Ruby
Calculates the different means for a data set (arithmetic, geometric and harmonic).
Enhances the Sevgi toolkit with geometry objects and methods.
Extract Curves a simplistic GTK Ruby-based appliaction which can convert the raster image file result of a geometric-trace-producing process's interaction with the characteristic of motion of another (interesting) process into a list of rectangular coordinates (in raster image's system) representing the inferred characteristic of motion of the midline of an image blob. Blob recognition is done by color: * by maximum pixel neighbor-to-neighbor difference * by maximum difference from blob's average color * by maximum difference from a pixel neighborhood's average color (using RGB or HSV). Use other software to pre-process (e.g. enhance contrast, or even reduce to gray scale), but Extract Curves's skeletonization is done based on the hypothesis of a recognized image blob, as opposed to a collection of pixels. Output is human-readable (tab-separated).
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