R package: tabr. Notation-based and tidy music data analysis and transcription.
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
Insightful analytics based on Spotify Music data
Phish.net API Python Wrapper for getting show, setlist, song, venue, and other phishy data
App that allows a user to modify the tags for their music files, and download information from different music websites.
Performed music data visualization using python-seaborn library and matplotlib library
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
Data and code for OS 2024 paper
💿 ボカロ曲 “Amebient” の歌ってみた向けのリソース集; since 2024.8
Top 2000 data reader/formatter
ボカロ曲 “perversion garden” の歌ってみた向けリソース集; since 2025.11
💿 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.
Spotify data extraction tool
Exploratory analysis of Spotify’s top 10,000 tracks using feature engineering and data visualization to uncover trends in popularity, collaborations, and release timing.
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).
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