algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
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Quick Overview
The algorithm-visualizer/algorithm-visualizer is an open-source project that provides a web-based platform for visualizing various algorithms. It offers a user-friendly interface to explore and understand different algorithms through interactive visualizations.
Pros
- Interactive Visualizations: The project offers a wide range of interactive visualizations that help users understand the inner workings of various algorithms.
- Extensive Algorithm Coverage: The project covers a diverse set of algorithms, including sorting, searching, graph algorithms, and more, making it a comprehensive resource for learning and exploration.
- Customizable Visualizations: Users can customize the visualizations by adjusting parameters, changing the speed, and even adding their own algorithms.
- Open-Source and Community-Driven: The project is open-source, allowing developers to contribute, improve, and extend the platform.
Cons
- Limited Mobile Support: The current version of the project is primarily designed for desktop/laptop usage, and the user interface may not be optimized for mobile devices.
- Steep Learning Curve: While the project provides a user-friendly interface, some users may find the initial setup and configuration process to be complex, especially for those new to web development.
- Potential Performance Issues: Depending on the complexity of the algorithms and the size of the data sets, the visualizations may experience performance issues, especially on older or less powerful devices.
- Lack of Offline Functionality: The project requires an active internet connection to access the visualizations, which may be a limitation for users in areas with limited or unreliable internet access.
Code Examples
The algorithm-visualizer/algorithm-visualizer project is a web-based application built using modern web technologies, including React, Redux, and WebGL. Here are a few examples of the code used in the project:
// Rendering a visualization component
import React from 'react';
import { useSelector } from 'react-redux';
import VisualizationComponent from './VisualizationComponent';
const VisualizationContainer = () => {
const algorithm = useSelector((state) => state.algorithm);
return (
<div>
<VisualizationComponent algorithm={algorithm} />
</div>
);
};
export default VisualizationContainer;
This code snippet demonstrates how a visualization component is rendered using React and Redux. The VisualizationComponent
is passed the current algorithm state from the Redux store.
// Implementing a sorting algorithm
function bubbleSort(arr) {
const n = arr.length;
for (let i = 0; i < n - 1; i++) {
for (let j = 0; j < n - i - 1; j++) {
if (arr[j] > arr[j + 1]) {
// Swap arr[j] and arr[j+1]
[arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
}
}
}
return arr;
}
This code snippet shows the implementation of the Bubble Sort algorithm, which is one of the algorithms visualized in the project.
// Handling user interactions
import React, { useState } from 'react';
import { useDispatch } from 'react-redux';
import { setAlgorithm } from './actions';
const AlgorithmSelector = () => {
const [selectedAlgorithm, setSelectedAlgorithm] = useState('bubbleSort');
const dispatch = useDispatch();
const handleAlgorithmChange = (event) => {
setSelectedAlgorithm(event.target.value);
dispatch(setAlgorithm(event.target.value));
};
return (
<div>
<label htmlFor="algorithm-select">Select an algorithm:</label>
<select id="algorithm-select" value={selectedAlgorithm} onChange={handleAlgorithmChange}>
<option value="bubbleSort">Bubble Sort</option>
<option value="mergeSort">Merge Sort</option>
{/* Add more algorithm options */}
</select>
</div>
);
};
export default AlgorithmSelector;
This code snippet demonstrates how user interactions, such as selecting
Competitor Comparisons
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Pros of hello-algorithm
- Comprehensive collection of algorithms and data structures in multiple programming languages
- Includes detailed explanations and illustrations for better understanding
- Offers a wide range of learning resources, including e-books and interview preparation materials
Cons of hello-algorithm
- Less interactive compared to Algorithm Visualizer's dynamic visualizations
- May be overwhelming for beginners due to the vast amount of content
- Lacks the ability to run and test algorithms directly in the browser
Code Comparison
Algorithm Visualizer:
const tracerManager = new TracerManager();
const array = [4, 2, 7, 1, 9, 5];
const tracer = new Array1DTracer('Array');
tracerManager.add(tracer);
tracer.set(array);
hello-algorithm:
def bubble_sort(arr):
n = len(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] > arr[j+1]:
arr[j], arr[j+1] = arr[j+1], arr[j]
Algorithm Visualizer focuses on creating interactive visualizations of algorithms, while hello-algorithm provides a more comprehensive collection of algorithms and learning resources across multiple programming languages. Algorithm Visualizer offers a more hands-on approach with its browser-based execution environment, whereas hello-algorithm excels in providing detailed explanations and a wider range of topics for algorithm study and interview preparation.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Pros of javascript-algorithms
- Comprehensive collection of algorithms and data structures implemented in JavaScript
- Detailed explanations and comments for each implementation
- Suitable for learning and interview preparation
Cons of javascript-algorithms
- Lacks interactive visualization of algorithms
- May be overwhelming for beginners due to the large number of implementations
Code Comparison
algorithm-visualizer:
const tracerManager = new TracerManager();
const array = [4, 2, 7, 1, 9, 5];
const tracer = new Array1DTracer('Array');
tracerManager.add(tracer);
tracer.set(array);
javascript-algorithms:
function bubbleSort(arr) {
for (let i = 0; i < arr.length; i++) {
for (let j = 0; j < arr.length - 1; j++) {
if (arr[j] > arr[j + 1]) {
[arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
}
}
}
return arr;
}
The algorithm-visualizer code focuses on setting up a visualization environment, while javascript-algorithms provides a direct implementation of the algorithm. algorithm-visualizer is more suitable for visual learners and interactive exploration, whereas javascript-algorithms offers a comprehensive collection of algorithm implementations for in-depth study and reference.
All Algorithms implemented in Python
Pros of Python
- Extensive collection of algorithms implemented in Python
- Well-organized directory structure for easy navigation
- Includes explanations and documentation for many algorithms
Cons of Python
- Lacks interactive visualization capabilities
- Primarily focused on Python implementations, limiting language diversity
- May be overwhelming for beginners due to the large number of algorithms
Code Comparison
Algorithm-Visualizer:
const sort = array => {
for (let i = 0; i < array.length - 1; i++) {
for (let j = 0; j < array.length - i - 1; j++) {
if (array[j] > array[j + 1]) {
const temp = array[j];
array[j] = array[j + 1];
array[j + 1] = temp;
}
}
}
};
Python:
def bubble_sort(array):
n = len(array)
for i in range(n):
for j in range(0, n - i - 1):
if array[j] > array[j + 1]:
array[j], array[j + 1] = array[j + 1], array[j]
return array
Algorithm-Visualizer focuses on interactive visualization of algorithms, making it easier to understand their workings. It provides a web-based platform for learning and exploring various algorithms through visual representations.
Python, on the other hand, offers a comprehensive collection of algorithm implementations in Python. It serves as a valuable resource for developers looking for reference implementations and explanations of various algorithms.
While Algorithm-Visualizer excels in visual learning, Python provides a more extensive library of algorithms for practical use and study.
Everything you need to know to get the job.
Pros of Interviews
- Comprehensive collection of algorithm problems and solutions
- Includes interview preparation resources beyond just algorithms
- Text-based format makes it easy to copy/paste code snippets
Cons of Interviews
- Lacks interactive visualizations for algorithm execution
- May be overwhelming for beginners due to the large volume of content
- Less structured learning path compared to Algorithm Visualizer
Code Comparison
Algorithm Visualizer:
const tracerManager = new TracerManager();
const logger = new LogTracer('Logger');
tracerManager.add(logger);
logger.print('Initializing...');
Interviews:
public class Solution {
public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
int complement = target - nums[i];
if (map.containsKey(complement)) {
return new int[] { map.get(complement), i };
}
map.put(nums[i], i);
}
throw new IllegalArgumentException("No two sum solution");
}
}
The Algorithm Visualizer code snippet shows how to set up a tracer for algorithm visualization, while the Interviews code provides a complete solution for the Two Sum problem, demonstrating the different focus of each repository.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Pros of System Design Primer
- Comprehensive coverage of system design concepts and principles
- Includes real-world examples and case studies from large-scale systems
- Regularly updated with community contributions and industry best practices
Cons of System Design Primer
- Text-heavy content may be less engaging for visual learners
- Lacks interactive elements for hands-on learning experiences
- Primarily focuses on high-level design concepts rather than specific algorithms
Code Comparison
System Design Primer doesn't typically include code snippets, as it focuses on high-level system design concepts. Algorithm Visualizer, on the other hand, provides interactive visualizations of algorithms. Here's an example of how Algorithm Visualizer might represent a simple sorting algorithm:
// Algorithm Visualizer example
tracer.select(i);
tracer.select(j);
if (array[i] > array[j]) {
swap(array, i, j);
}
While System Design Primer might discuss sorting algorithms in the context of scalability, it wouldn't provide specific code implementations.
Both repositories serve different purposes: System Design Primer is a comprehensive resource for learning about large-scale system design, while Algorithm Visualizer focuses on interactive algorithm demonstrations. The choice between them depends on whether you're looking to understand high-level system architecture or dive into specific algorithm implementations and visualizations.
💯 Curated coding interview preparation materials for busy software engineers
Pros of Tech Interview Handbook
- Comprehensive coverage of various interview topics, including algorithms, system design, and behavioral questions
- Regularly updated with new content and community contributions
- Includes practical advice and tips for job search and interview preparation
Cons of Tech Interview Handbook
- Primarily text-based content, lacking interactive visualizations
- May be overwhelming for beginners due to the breadth of information covered
Code Comparison
Tech Interview Handbook (JavaScript):
function binarySearch(arr, target) {
let left = 0;
let right = arr.length - 1;
while (left <= right) {
const mid = Math.floor((left + right) / 2);
if (arr[mid] === target) return mid;
if (arr[mid] < target) left = mid + 1;
else right = mid - 1;
}
return -1;
}
Algorithm Visualizer (JavaScript):
const tracerManager = new TracerManager();
const tracer = new Array1DTracer('Binary Search');
const logger = new LogTracer('Console');
tracerManager.add(tracer);
tracerManager.add(logger);
function binarySearch(array, element) {
let minIndex = 0;
let maxIndex = array.length - 1;
// ... (rest of the implementation)
}
The Algorithm Visualizer code focuses on integrating with the visualization framework, while the Tech Interview Handbook code provides a straightforward implementation of the algorithm.
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Algorithm Visualizer
Introduction
Welcome to Algorithm Visualizer, an interactive online platform designed to bring algorithms to life through visualization. Whether you're a student, teacher, or professional, our platform provides an engaging way to explore and understand various algorithms.
Languages and Frameworks Used
Key Features
-
Visualize algorithms from code:
Algorithm Visualizer allows you to witness algorithms in action by visualizing code written in various programming languages. This visual approach facilitates a better understanding of algorithmic behavior..
-
Learn about Algorithms:
Explore our collection of tutorials, articles, and videos that serve as valuable resources for learning about algorithms.
algorithms
In this repository, you'll find visualizations of algorithms showcased in the website's side menu. Contributions here directly impact the educational content available on the platform. https://github.com/algorithm-visualizer/algorithms
tracers
Explore the various visualization libraries in different programming languages. These libraries extract visualization commands from code. https://github.com/search?q=topic%3Avisualization-library+org%3Aalgorithm-visualizer&type=Repositories
Live Demo
Learning an algorithm gets much easier with visualizing it. Don't get what we mean? Check it out:
Contributing
Our project consists of multiple repositories, each playing a crucial role in the Algorithm Visualizer ecosystem. If you're interested in contributing, check out the guidelines for the specific repository:
-
algorithm-visualizer
is a web app written in React. It contains UI components and interprets commands into visualizations. Check out the contributing guidelines. -
server
serves the web app and provides APIs that it needs on the fly. (e.g., GitHub sign in, compiling/running code, etc.) -
algorithms
contains visualizations of algorithms shown on the side menu of the website. -
tracers.*
are visualization libraries written in each supported language. They extract visualizing commands from code.
Ready to contribute? Explore the repositories and become part of the Algorithm Visualizer community!
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🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
All Algorithms implemented in Python
Everything you need to know to get the job.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
💯 Curated coding interview preparation materials for busy software engineers
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designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot