R package: tabr. Notation-based and tidy music data analysis and transcription.

Get Spotify Stats Ultimate on GitHub: a complete, high-performance toolkit for seamless music data analysis and professional track tracking. #Spotify

This is the mapping for the conversion of the Midi signal received in the name of the note, it contains the dictionaries in English, Italian and English+Italian

A Ruby on Rails tool designed to seed MusicBrainz track relationships with rich API data from Jaxsta, contributing to improved music data quality.

Deezer api for Nodejs

Data and code for SMJ 2019 paper

Phish.net API Python Wrapper for getting show, setlist, song, venue, and other phishy data

Insightful analytics based on Spotify Music data

App that allows a user to modify the tags for their music files, and download information from different music websites.

SiriusXM channel database: 400+ channels with numbers, genres, categories, branding data, and millions of track play records with artist, title, album, duration. Updated daily.

A Python tool to compare two music playlist files, identify common and unique tracks, and output the results. It uses pandas for data handling and supports flexible normalization of track and artist names

Top 2000 data reader/formatter

Performed music data visualization using python-seaborn library and matplotlib library

💿 ボカロ曲 “Amebient” の歌ってみた向けのリソース集; since 2024.8

Spotify data extraction tool

ボカロ曲 “perversion garden” の歌ってみた向けリソース集; since 2025.11

🎶 Build and run Musicpedia, a simple music info application, on your local machine with easy setup instructions and essential dependencies.

💿 ボカロ曲 “NULLRISE” の歌ってみた向けのリソース集; since 2025.2

A Spotify data analysis project focusing on exploratory data analysis (EDA) of track features, trends, and popularity. Includes data cleaning, visualization, and insights using Python, Pandas, and Matplotlib/Seaborn.

📊 Analyze Spotify track data to uncover insights on popularity and audio features through comprehensive exploratory data analysis and visualizations.

Data and code for OS 2024 paper

GitHub Action to grab your ListenBrainz data and dump it to JSON. No auth required. Good Will Hunting for your music data.

An interactive Spotify music analytics dashboard built with Python, Pandas, Plotly, and Streamlit. The project performs exploratory data analysis on Spotify audio features, genres, and chart performance (2009–2023), using trend analysis, PCA-based visualization, and chart vs non-chart comparisons to uncover patterns behind popular music.

Exploration and Analysis of Thrice's music + lyrical content (Part 1, 2, 3 links in readme).

Exploratory analysis of Spotify’s top 10,000 tracks using feature engineering and data visualization to uncover trends in popularity, collaborations, and release timing.

Analyzing Spotify track data using audio features (Danceability, Energy, Valence) to cluster songs by mood, and build a foundational music recommendation system or predict track popularity.

A decently big amount of collected music data 90k+

Retrieve and analyze Spotify data about your loved songs and artists

testing the grammy best new artist curse with 68 years of data. turns out it doesn't exist. first in our music data series at moonpath 🎧📊

Interactive Spotify analytics dashboard built in Power BI to explore song popularity, artist trends, and music metadata insights.