An insight on all the data collected by Discord, formed into a video just like Spotify Wrapped!
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Updated
Dec 22, 2024 - TypeScript
An insight on all the data collected by Discord, formed into a video just like Spotify Wrapped!
Your Top Spotify Listening Habits, Favorite Artists, and Song Recommendations in a Playlist🎧🎶
A collection of Spider Monkey tools for foobar2000: removing duplicates, wrapped, statistics report, advanced playlist manipulation, dynamic queries, "spotify-like" playlist creation, ... Infinite possibilities.
Generate some visualizations, stats, and a video and stats. Inspired by Spotify Wrapped.
User listening statistics for foobar2000 using, using Spider Monkey, which output a report similar to Spotify's wrapped and personalized playlists.
A web app for visualizing personalized Spotify and YouTube Music statistics and generating up-to-date live "Spotify Wrapped" images.
🎉 Beautiful Spotify Wrapped-style visualization of your GitHub year
Using Python to grab recently played songs from Spotify API and chart.js to display a SpotifyWrapped.
Create your own small but transparent Spotify Wrapped to view your nerdy music stats.
Custom Spotify Wrapped takes your music listening experience to the next level. Dive into detailed insights of your music tastes, share and compare with friends, and enjoy interactive features designed to celebrate your love for music. Built for music enthusiasts by music enthusiasts.
A next.js web app that visualizes your spotify data in detail
Year in review generator for Foobar2000's Discord Rich Presence component. Made in Python with Pillow.
A discount version of the popular Spotify Wrapped feature. This project covers the usage of the Spotify API, storing data in a Supabase postgresdb and visualizing the data.
Get your Spotify Wrapped and other stats any time of the year!
Personal Spotify Wrapped using Airflow, Django and Docker
The wrapped.py script is a standalone feature inspired by Spotify Wrapped, designed specifically for the babTomaMusic (btM) app. It provides users with a personalized summary of their music listening habits, offering insights into their most-played songs, total listening time, and more.
Statistics logger for audio players, right now only AIMP supported.
Create your personalized GitHub Wrapped 2025! Discover you coding stats, top languages, contributions streaks and get hilariously roasted by AI.
Add a description, image, and links to the spotify-wrapped topic page so that developers can more easily learn about it.
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