This project is a visual representation of Dijkstra's algorithm, built entirely from scratch using HTML5, CSS3, and JavaScript. It showcases how Dijkstra's algorithm finds the shortest path in a graph, with interactive elements that allow users to visualize each step of the algorithm.

Interactive visualization tool for pathfinding algorithms including Dijkstra's, A*, Breadth-First Search and more. Features adjustable speed, maze generation, and interactive grid controls.

A graph visualization tool that can simulate Dijkstra's shortest path algorithm. Use the canvas to build your graph. double-click, then add a label by typing a unique alphabetic character. shift+drag from one vertex to another, then add a weight by typing a number. drag it. click it. press the delete key (fn + delete on mac)

Logical Representation: Adjacency List Representation: Animation Speed: w: h:

This project implements an interactive map that allows users to visualize Dijkstra's algorithm for finding the shortest path between selected cities. It also displays the shortest distance between the chosen cities and the length of the path, where each city can only reach to its 3 closest cities.

Using this visualization tool, we can intuitively understand how Dijkstra's algorithm finds the shortest paths step by step. When edge weights are modified, the algorithm recalculates, helping us understand how different weights affect the shortest paths.

An interactive web application for visualizing Dijkstra's algorithm and the Bellman-Ford algorithm in action. Built to make graph algorithms more accessible and easier to understand through visual representation. 🚀 Try it live: shortest-path-visualizer-pi.vercel.app

This is an interactive tool built to visualise Dijkstra's pathfinding algorithm. Use it to create graphs by adding nodes and edges.

Welcome to the Network Pathfinding Visualizer! Start by using the presets or add your own vertices and edges. Use the controls below to interact with the graph and find the shortest path between two nodes. Example: Add vertices A, B, C. Add edges A-B (weight 1), B-C (weight 2), A-C (weight 4). Find the shortest path from A to C.

Dijkstra's algorithm is a graph search algorithm that solves the single-source shortest path problem for a graph with non-negative edge weights, producing a shortest path tree. This visualizer demonstrates how the algorithm explores the grid to find the shortest path between the start and end points.