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🎧🎶

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.

Create your own small but transparent Spotify Wrapped to view your nerdy music stats.

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.

Year in review generator for Foobar2000's Discord Rich Presence component. Made in Python with Pillow.

Get your Spotify Wrapped and other stats any time of the year!

A web app for visualizing personalized Spotify and YouTube Music statistics and generating up-to-date live "Spotify Wrapped" images.

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.

Java/React full-stack app, analyzes Spotify listening history. MVC design pattern. Managed with maven, utilizing Spring Boot, JGit, REST architecture, the Spotify API, and build tested with Docker.

Personalized Spotify Wrapped-style video generation from listening data, currently in a rudimentary state.

Spotilytics is a tool that allows you to view your downloaded Spotify streaming history throughout the year, without the need to wait for Spotify Wrapped. It works on Windows with Python 3.10+ installed.

Application de suivi personnalisé inspirée par Spotify Wrapped, permettant aux utilisateurs de suivre et visualiser leurs données personnelles de manière engageante et interactive.

Personal Spotify Wrapped using Airflow, Django and Docker

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Statistics logger for audio players, right now only AIMP supported.

Explore your Spotify streaming history, playlists & tracks library using Metabase.

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.