https://github.com/amnydv17/algorithm-visualizer
This project aims to offer a visual representation of how different algorithms work, making it easier for developers, students, and enthusiasts to understand their functionalities and behaviors through graphical demonstrations.
https://github.com/amnydv17/algorithm-visualizer
matplotlib numpy python3 seaborn
Last synced: 12 months ago
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This project aims to offer a visual representation of how different algorithms work, making it easier for developers, students, and enthusiasts to understand their functionalities and behaviors through graphical demonstrations.
- Host: GitHub
- URL: https://github.com/amnydv17/algorithm-visualizer
- Owner: amnydv17
- Created: 2023-06-15T10:24:23.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-19T13:14:22.000Z (about 2 years ago)
- Last Synced: 2025-01-03T07:11:07.781Z (about 1 year ago)
- Topics: matplotlib, numpy, python3, seaborn
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Merge Short Algorithm-Visualizer
# Algorithm Visualizer
The Algorithm Visualizer is an open-source Python-based repository created to facilitate the visualization of various algorithms. This project aims to provide an interactive platform that enables users to visualize the functionality and behavior of different algorithms through graphical demonstrations.
## Features
- **Interactive Visualization:** Offers an interactive environment to visualize algorithms step-by-step.
- **User-Friendly Interface:** Intuitive interface allowing easy selection and visualization of different algorithms.
- **Customization Options:** Adjustable parameters for algorithm visualization including array size, speed, colors, and animation styles.
- **Comprehensive Documentation:** Detailed documentation explaining algorithm implementations and visualization techniques.
- **Support and Contributions:** Encourages community contributions, bug fixes, algorithm implementations, and enhancements.
- **Educational Resource:** Serves as an educational tool for learning algorithms through visualization.
- **Cross-platform Compatibility:** Compatible across various platforms for accessibility.
## Getting Started
### Prerequisites
- Python 3.x
- [Additional dependencies listed in requirements.txt]