{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"},{"label":"Sound/Audio","url":"https://skillfed.io/packages/category/multimedia-sound-audio"},{"label":"Conversion","url":"https://skillfed.io/packages/category/multimedia-sound-audio-conversion"},{"label":"Artistic Software","url":"https://skillfed.io/packages/category/artistic-software"},{"label":"MIDI","url":"https://skillfed.io/packages/category/multimedia-sound-audio-midi"}],"enrichment":{"capability":"music21 is a Python toolkit for analyzing, processing, and computationally working with musical scores and MIDI data, supporting symbolic music representation and analysis workflows.","skillfed_tags":["music-analysis","symbolic-notation","musicology"],"use_cases":["Analyze harmonic progressions and voice leading in classical scores for music theory research.","Extract melodic or rhythmic patterns from a collection of scores for statistical musicology studies.","Programmatically generate or modify MusicXML scores based on algorithmic composition rules.","Build educational tools that parse student compositions and provide automated feedback on notation or structure.","Convert between MIDI and MusicXML formats for integration with other music software workflows."],"what_it_does":"music21 is a Python library for symbolic music analysis and computational musicology, developed at MIT since 2010. It provides tools to parse, analyze, and manipulate musical scores in formats like MusicXML and MIDI, enabling programmatic access to musical notation, pitch, rhythm, harmony, and other analytical properties. The library is built on standard scientific Python dependencies (numpy, matplotlib, joblib) and supports modern Python versions (3.11+).\n\nTypical workflows involve loading scores from files or URLs, traversing their hierarchical structure to extract notes and measures, performing analytical operations (harmonic analysis, voice leading checks, statistical studies), and generating visualizations or new scores. It's commonly used in music education, research, and computational analysis projects where symbolic representation of music is more relevant than audio processing.","worth_installing":"Yes, if you work with symbolic music notation, analysis, or computational musicology. Low install friction, active maintenance, no known vulnerabilities, and permissive licensing make it a safe choice. Not suitable if you need audio processing or real-time synthesis\u2014music21 works with symbolic scores, not sound files."},"id":"music21","links":{"html":"https://skillfed.io/packages/music21","md":"https://skillfed.io/packages/music21.md","pypi":"https://pypi.org/project/music21/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-17","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"music21","python_support":"supports_current","summary":"A Toolkit for Computer-Aided Musical Analysis and Computational Musicology."},"popularity":{"monthly_downloads":409505,"position":6871,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"10.5.0"}