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music-analytics

Here are 111 public repositories matching this topic...

Spotify controller & listening-analytics browser extension for Chrome & Brave (Manifest V3) — now-playing, queue, device switching, sleep timer, and a local music-stats dashboard.

  • Updated Jun 19, 2026
  • JavaScript

A full-stack web application that transforms music discovery through interactive visualizations, personalized recommendations, and deep artist analytics. Built with the Spotify API, MusicBucket helps users explore new music, track their listening journey, and understand their musical preferences with rich data insights.

  • Updated Jul 9, 2026
  • TypeScript
dynamoi

Dynamoi MCP server and CLI: music promotion and distribution, built for AI agents. Run Spotify and YouTube ad campaigns and free Smart Links from Claude, ChatGPT, Codex or Cursor.

  • Updated Nov 7, 2026
  • TypeScript
NovaMusicLab

Local-first React + TypeScript music museum for private listening-history imports, Living Artist Atlas and genre discovery, evidence-aware visual analytics, and accessible EN/ES/HE RTL UX.

  • Updated Nov 4, 2026
  • TypeScript

Interactive Streamlit dashboard that transforms a prepared listening-history dataset into rich insights: genres, mood/energy trends, discovery habits, device mix, streaks, artist comebacks, and ML-powered 7-day forecasts with confidence bands for platform share, trained offline and visualized directly in the app.

  • Updated Nov 25, 2025
  • Python

A Next.js application that lets you explore your Spotify listening history, create playlists based on specific time periods, and visualize your music journey.

  • Updated Nov 4, 2026
  • TypeScript

Shazam Scraper — free, open-source Shazam scraper. Unlimited song recognition, lyrics, BPM, charts & concerts as clean JSON, no API key, no proxies.

  • Updated Nov 4, 2026
  • Python

AI-powered music listening tracker with real-time Last.fm monitoring, Discogs collection sync, and automatic enrichment via Spotify & AI. Built with FastAPI + React + TypeScript. Features: listening history, playlist generation, analytics, and multi-source metadata aggregation.

  • Updated Feb 28, 2026
  • Python

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