Calculate the Manhattan distance between two points
Support for the manhattan web framework's manage UI
A set of essential functions for manhattan JavaScript packages.
Manhattan routing algorithm for ReactFlow - generates orthogonal paths with obstacle avoidance
Content editing for the manhattan web framework
Computes the Manhattan (city block) distance between two arrays.
Manhattan is a powerful, mobile-first responsive framework built on top of Bourbon Neat
Computes the L1 norm (Manhattan norm) of an array of values.
Compute the city block (Manhattan) distance between two double-precision floating-point strided arrays.
A webpack loader for working with static assets and manhattan.
Use the Manhattan grid in ember-cli projects.
manhattan distance for 2 lat lng
Vector distance and similarity measurements in JavaScript. eg: Euclidean, Manhattan, Chebyshev, Angular
library for generating L1(manhattan distance) voronoi diagrams
Type-a-head and tokens for form fields.
Autopilot Manhattan API
File and image uploads for forms.
CCXT-style unified API for prediction markets
Layout utilities for React built on top of Manhattan
Webpack plugin for generating manifest files for Manhattan CMS.
A plugin to allow special rendering of Edges, including Manhattan Routing.
Date parsing and picking for form fields.
Display maps and map fields using Leaflet.
Calculate the influence or weight of points over an area based on their distances.
A spatial tree which can effiently find closest key to a point, by manhattan distance.
Experimental crate for writing wgsl in rust!
A rust library to provide distances for multidimensional arrays
This library provides a variety of path finding and graph operations. Work in progress.
Iterator types for output permutations from a function combining multiple discrete factors
Crate for Project 1 done for ITCS 6156 Intelligent Systems at UNCC.
CLI for testing and benchmarking ruvector-router-core
NAPI-RS bindings for ruvector-router-core vector database
Spatial algorithms module for SciRS2 (scirs2-spatial)
Core traits, models, and errors for dr-manhattan prediction market SDK
Kalshi exchange implementation for dr-manhattan
Limitless exchange implementation for dr-manhattan
Easy way to define states on your classes
A powerful, mobile-first responsive framework built on Bourbon Neat.
== FEATURES/PROBLEMS: * Pretty simple == SYNOPSIS: you = Faded::Person.new(:male, 175) you.drink("30 minutes ago", :manhattan) you.bac => 0.023 you.bac("15 minutes ago") => 0.017 == REQUIREMENTS:
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