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A collection of tools for computational musicology.

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Musii-kit: Tools for interactive computational music analysis

License: MIT pull_request

A collection of tools for computational musicology, especially using Jupyter Notebooks for music analysis. This has been greatly inspired by the example notebooks associated with the excellent book Fundamentals of Music Processing.

Dependencies

  • Python 3.10
  • Jupyter Notebook
  • Poetry
  • MuseScore (version 3.6 recommended) or Lilypond for visualizing scores
  • Rust (for posemirpy)
  • Bump2version for version bumping

The exact packages used by musii-kit are defined in the poetry.lock file.

Installation

Run poetry run ./install_kernel.sh to install the musii-kit jupyter kernel.

Running in a Docker container

Musii-kit can also be run in a Docker container. The Docker images for musii-kit can be found on GitHub container registry, e.g. ghcr.io/otsob/musii-kit:0.1 for version `0.1.x``

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A collection of tools for computational musicology.

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