music-analytics

Turn your Last.fm scrobbles into a complete, private dashboard.

Spotify Wrapped–style web app that visualizes your Navidrome listening stats

A Chrome extension for tracking and analyzing streaming data on Spotify. Easily monitor playlist, album, and track streams, export data to Excel.

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

🎵 Plateforme full-stack d'analytics musicales avec recommandations personnalisées. MongoDB + NestJS + Next.js. Intégration Spotify, aggregation pipelines avancées, visualisations interactives.

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.

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.

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

Interactive Power BI dashboard analyzing Spotify Top 50 World data, artist performance, song popularity, chart trends, album types, and streaming insights using DAX and Power Query.

A Windows desktop app that turns your Spotify extended streaming history into interactive stats, top tracks & artists, listening trends, and time-of-day breakdowns

🎧 A full-stack music search and analytics platform built with React, Node.js, PostgreSQL, and AWS RDS. Features advanced filtering, interactive visualizations, and RESTful APIs for exploring songs and albums.

Spotify Stats is a privacy-focused web app that lets users explore their Spotify listening habits, including top artists, tracks, and genres. Built with Next.js, and Tailwind CSS, it offers secure authentication via NextAuth.js and integrates Plausible analytics for privacy-conscious tracking.

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.

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

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.

Power BI dashboard analyzing 527bn Spotify followers across 8 artists - genre trends, geo insights, and engagement correlation

Interactive Spotify Music Analytics Dashboard built with Microsoft Power BI, DAX, and Power Query to analyze artist performance, song popularity, album distribution, and music trends through interactive business intelligence visualizations.

Spotify Duo Charts is a personal music analytics app for two Spotify accounts, featuring real-time listening, shared rankings, Music Match, historical insights, and duo-based listening statistics.

Presentación de la Comunicación Oral del LII Coloquio Argentino de Estadística de la Sociedad Argentina de Estadística