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!
Spindle — self-hosted YourSpotify-style listening stats dashboard for Navidrome (thin scrobble plugin -> TS backend -> Vue dashboard)
A collection of Spider Monkey tools for foobar2000: playback controls, removing duplicates, wrapped, statistics report, advanced playlist manipulation, dynamic queries, "spotify-like" playlist creation, ... Infinite possibilities.
Analyze your youtube music listening history
Your Top Spotify Listening Habits, Favorite Artists, and Song Recommendations in a Playlist🎧🎶
See what your music says about you. A private, local-first analyzer for your Spotify listening history. Patterns, life-phases, and an optional AI personality read.
Generate some visualizations, stats, and a video and stats. Inspired by Spotify Wrapped.
Your AI Coding Year Wrapped 🎉 Generate beautiful Spotify Wrapped-style reports for Claude Code usage. Privacy-first, 100% free, open source.
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.
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.
Create your own small but transparent Spotify Wrapped to view your nerdy music stats.
Spotify Wrapped for your AI pair programming sessions. Analyze Claude, Codex, Cursor, and Gemini to see your coding year in review.
A next.js web app that visualizes your spotify data in detail
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.
Personal Spotify Wrapped using Airflow, Django and Docker
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