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Maze Escape

Last Commit Languages Graphs AniList API Data Visualization

⛩️ AniList Visualizer

AniList Visualizer is an open-source data visualization tool designed to analyze and graphically represent anime statistics from your AniList profile. Built with Python, this project connects to the AniList API and transforms your profile data into pie charts.

  • Perfect for anime fans and data enthusiasts alike.
  • Powered by the data visualization library matplotlib
  • Designed to transform your AniList data into meaningful and engaging visuals.
  • Includes 6 graphs showcasing completion rates by years, seasons, genres, and more

Discover trends in your anime-watching habits and gain unique insights into your AniList profile with this fun and interactive tool!

🖼️ Preview

Preview

🛠️ Installation

To install this project, Launch the Terminal app on your system, and run the commands below.

  • If a pop-up appears prompting you to download the Xcode Command Line Tools after the first command, click “Download” and then run the first command again.
  1. Clone repo
git clone https://github.com/marsdevx/anilist-visualizer.git ~/Downloads/Anilist-Visualizer
  1. Install dependencies
brew install python
pip3 install --break-system-packages matplotlib requests

🚀 Usage

Follow these steps to set up and run AniList Visualizer:

  1. Create Your AniList Client
  • Go to AniList Developer Settings.
  • Click Create New Client.
  • Fill in the name field (you can write anything) and leave the redirect URL blank.
  • Click Save and copy the Client ID (a series of five numbers under the "ID" field).
  1. Run the Program to Get the Authorization URL
    Replace <id> with the Client ID you copied:
cd ~/Downloads/Anilist-Visualizer && python3 get_url.py <id>
  1. Authorize the Request
  • After running the previous command, you’ll be redirected to an authorization page.
  • Click Authorize.
  • Copy the URL from the address bar.
  1. Run the Main Program
    Replace <url> with the URL you copied:
cd ~/Downloads/Anilist-Visualizer && python3 anilist_viz.py <url>