ePaper Clock with two user's Spotify info and the weather using Waveshare's 4.2inch EPD
Your Top Spotify Listening Habits, Favorite Artists, and Song Recommendations in a Playlist🎧🎶
The `MKGCN` class, coupled with the Spotify API, orchestrates a multi-modal knowledge graph convolutional network to enhance music recommendation systems by integrating user interaction data and diverse music modalities.
A Spotify like Website For sync Spotify listening sessions across multiple client and platforms with/without premium!
In this Python Project, my aim is to develop a “Music Playlist Generator” rather than manager. Spotify does a great job at providing us with many (and always fresh) playlists, to the point that it is basically 100% guaranteed that it satisfies us on any occasion. But, sometimes it is also lots of fun to generate our own playlists, according to w…
A terminal-based Spotify client built with Python, Spotipy and Textual. It provides a keyboard-driven TUI for searching, browsing and controlling Spotify playback, viewing synced lyrics, managing playlists and devices, and more. It's inspired by Rigellute's "spotify-tui".
creates new spotify playlist of samples used by tracks in an existing playlist using web scrape from whosampled
Python script that parses through messages in a GroupMe group chat, finds links to Spotify tracks, and adds those tracks to a Spotify playlist.
Simple utility to collect Spotify stats with a Vercel instance and add an infographic to a GitHub README file
Spotigram bot, a telegram bot built with spotipy.
Content-based +Emotion/Mood aware Music Recommendation system
Play Youtube videos for the current song playing on Spotify in a web page.
An web project to analyze data from Spotify about the music world.
It is a project build using ETL(Extract, Transform, Load) pipeline using Spotify API on AWS.
A lightweight Python Script to extract videos from Youtube and generate a playlist on Spotify.
An A&R tool that helps democratize in-house big label tools that detect up and coming talent within specific genres.
This project uses Spotify API, Python and Jupyter Notebooks to analyze the audio features of songs. The solution runs on a Docker Container with Anaconda installed for package management.
This is a basic music recommender I made for my Final Project.
One click add a song to a preset spotify playlist, with kivy GUI
a simple way for adding your local music files to your spotify account.
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