๐ŸŽต Music and Musicology


  • Description: A Python package for music and audio analysis, providing the building blocks necessary to create music information retrieval systems.

  • Use Case: Analyzing audio signals, extracting features like tempo, beats, and melody from music files for research in musicology and developing music recommendation systems.

  • Documentation: librosa Documentation

  • GitHub Repository: librosa GitHub


  • Description: A toolkit for computer-aided musicology, allowing for simple and complex analysis and manipulation of musical scores.

  • Use Case: Analyzing and generating musical scores, studying music theory, and digital musicology research.

  • Documentation: music21 Documentation

  • GitHub Repository: music21 GitHub


  • Description: A real-time software synthesizer based on the SoundFont 2 specifications.

  • Use Case: Synthesizing high-quality musical sounds for music production, research, and educational purposes in musicology.

  • GitHub Repository: Not directly applicable; FluidSynth is not a Python library but can be interfaced with Python through bindings.


  • Description: A Python library for analyzing and modifying MIDI files with a simple and intuitive API.

  • Use Case: Manipulating MIDI files, extracting musical information, and converting MIDI to audio for musicological analysis.

  • GitHub Repository: pretty_midi GitHub


  • Description: A simple and easy-to-use interface to manipulate audio with a focus on simplicity and ease of use for common tasks.

  • Use Case: Editing audio files, changing audio formats, and segmenting recordings for music and sound research.

  • Documentation: PyDub Documentation

  • GitHub Repository: PyDub GitHub

Sonic Visualiser

  • Description: An application for viewing and analyzing the contents of audio files, combining powerful waveform and spectral visualization tools with automated feature extraction plugins.

  • Use Case: Visual analysis of musical pieces, understanding the structure and components of audio recordings for music education and research.

  • GitHub Repository: Not directly a Python library, but related Python tools and plugins can interact with it.


  • Description: An open-source C++ library for audio analysis and audio-based music information retrieval, with Python bindings available.

  • Use Case: Advanced audio feature extraction, music classification, and audio tagging for musicological studies and development of music analysis tools.

  • Documentation: Essentia Documentation

  • GitHub Repository: Essentia GitHub


  • Description: A Python library for working with MIDI messages and ports, aimed at providing an easy-to-use and straightforward method for working with MIDI.

  • Use Case: Reading, writing, and manipulating MIDI files and messages for applications in music composition, analysis, and live performance.

  • Documentation: Mido Documentation

  • GitHub Repository: Mido GitHub


  • Description: While primarily a general-purpose visualization library, Matplotlib can be used in musicology for plotting and visualizing music-related data and analysis results.

  • Use Case: Visualizing patterns in music, such as pitch distributions, rhythm patterns, and historical trends in musicology studies.

  • GitHub Repository: Matplotlib GitHub

NumPy & SciPy

  • Description: Fundamental packages for scientific computing and technical computing, respectively. They are used extensively in audio signal processing and music theory analysis.

  • Use Case: Performing complex mathematical operations and signal processing tasks on audio signals, useful in musicological research and acoustic analysis.

  • GitHub Repositories: NumPy GitHub, [SciPy GitHub](https://github.com/scipy/scipy)

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