Guide · Open source
How to use Algorithm Visualizer: step-by-step algorithm animations
Updated · written with AI from the project's own documentation and checked against our catalogue data
Algorithm Visualizer is an interactive online platform that turns algorithm code into step-by-step animations, showing how the algorithm's data changes as it runs. It is aimed at students, teachers and developers who learn better by watching an algorithm move than by reading pseudocode. After this guide you will know what the platform does, where to start, and how to get more out of it.
Algorithm Visualizeralgorithm-visualizer/algorithm-visualizer · ★ 49.4k · MIT Install options & downloads Quick start
- 1Open the website. Go to algorithm-visualizer.org in your browser. The main experience is the hosted site.
- 2Find an algorithm. Use the side menu to choose an algorithm such as a sorting or searching method.
- 3Run the visualization. Run or pick the code for the algorithm and watch how its data changes step by step.
- 4Read the supporting material. Use the tutorials, articles and videos on the site when a step needs more explanation.
- 5Clone the repository (optional). If you want to read or change the code, run git clone on the main repository and follow the contributing guidelines.
What is Algorithm Visualizer and who is it for?
Algorithm Visualizer is a web platform for learning algorithms through visualization. You write or pick code in a supported language, and the site shows the algorithm's data changing step by step.
The project's README describes it as useful for students, teachers and professionals who want an engaging way to explore algorithms. It is especially suited to learning sorting, searching and data structures for the first time.
- Students learning sorting, searching or data structures
- Teachers who need a visual aid for explaining algorithm behavior
- Developers who want to see how a familiar algorithm moves its data
- Anyone who prefers seeing an algorithm in motion over reading pseudocode
Open the site and pick an algorithm
The main experience is the hosted website at algorithm-visualizer.org. Open it in a browser; no local setup is described as required for basic use.
The site has a side menu listing the algorithms that have visualizations. The README says these visualizations come from the separate algorithms repository, so the menu is the easiest place to find a starting point.
Run and watch an algorithm's steps
Choose or write code in a supported language and run it on the platform. The visualization shows how the algorithm's data changes over time, which is the core value of the tool.
Watch the steps slowly first, then compare how different algorithms handle the same kind of input. Seeing the data move is often clearer than reading the equations.
Use the built-in tutorials and articles
The platform includes a collection of tutorials, articles and videos about algorithms. The README lists these as a learning resource alongside the visualizations, so use them when a visualization raises a question.
Clone the repository if you want to work on the code
If you want the source of the main web app, the README gives this command. Only do this if you plan to read or change the code; ordinary learning happens on the website.
The project is split into several repositories: the web app (React), a server for sign-in and running code, the algorithms repository, and the tracers libraries that extract visualization commands from code. Check the contributing guidelines in the specific repository before making changes.
- Web app repository: built in React, contains UI components and interprets commands into visualizations
- Server repository: serves the web app and provides APIs such as GitHub sign-in and compiling/running code
- Algorithms repository: visualizations shown on the side menu
- tracers.* repositories: visualization libraries for each supported language
git clone https://github.com/algorithm-visualizer/algorithm-visualizerWhat people use it for
- Showing a class how bubble sort or another sorting method moves elements
- Studying how a searching algorithm narrows down its range of data
- Comparing how a familiar algorithm handles the same input as a classmate's version
- Learning data structure behavior before reading the textbook proof
Frequently asked questions
Is Algorithm Visualizer free?
The repository is licensed under MIT, and the README describes the website as a free-to-use learning platform. Check the site and repository for current terms before relying on it for a specific purpose.
Do I need to install anything to use Algorithm Visualizer?
The main experience is the hosted website at algorithm-visualizer.org, so you can use it from a browser. The README lists no prerequisites. Cloning the repository with git is only needed if you want to work on the code.
Does Algorithm Visualizer work offline?
No. The README presents it as an online platform, and the main experience is the hosted website. If you need a fully offline tool, look for a different option.
Which programming languages does it support?
The README says the platform visualizes code written in various programming languages, with a visualization library (tracer) for each supported language. The exact list is on the website and in the tracers repositories.
Is Algorithm Visualizer good for running or deploying code?
No. It is a learning platform focused on visualizing how algorithms behave, not production tooling. Use it to understand an algorithm, then use your normal development environment to build with it.
How does Algorithm Visualizer compare to VisuAlgo or Python Tutor?
All three visualize algorithms and data structures for learners. Algorithm Visualizer works from your own code in supported languages and includes tutorials and videos. Check each site to see which languages, algorithms and features match what you need.
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Our verdict
Algorithm Visualizer suits students, teachers and developers who want to see sorting, searching and data structures move step by step. It is less suited to people who need to run or deploy production code or who need a fully offline tool, so for those, pick a different option.
Install options & downloads