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MonodiKit is a Python library designed to facilitate the analysis and processing of medieval chant documents. It was specifically tailored to handle data in the monodi+ data format as edited by the Corpus Monodicum project. The library offers a set of classes that provide a wide range of functionalities, including parsing and processing of chant documents, exploring their hierarchical structure, managing metadata, generating musical notation, and extracting relevant information.

Project description

MonodiKit: Medieval Chant Document Analysis and Processing

MonodiKit is a Python library designed to facilitate the analysis and processing of medieval chant documents. It was specifically tailored to handle data in the monodi+ data format as edited by the Corpus Monodicum project. The library offers a set of classes that provide a wide range of functionalities, including parsing and processing of chant documents, exploring their hierarchical structure, managing metadata, generating musical notation, and extracting relevant information.

See Documentation

Key Features

  • Parsing and processing of medieval chant documents.
  • Access to the hierarchical structure of chant documents.
  • Management of metadata associated with chant documents.
  • Export to MEI, Volpiano and JSON.
  • Extraction of relevant information.

Usage

To use MonodiKit, follow these steps:

Install monodikit from pip:

pip install monodikit

Import the MonodiKit library into your Python project:

import monodikit

If you want to use the data published by Corpus monodicum, you have to download it from OSF. Now you can load the data into monodikit with:

corpus = monodikit.Corpus("./data/*")
print(len(corpus.documents))

Examples

Check out Examples.md for more examples.

Version History

  • 0.0.1
    • Initial Release
  • 0.0.2
    • Updated Data Structure and Exception Handling
  • 0.0.3
    • Better Volpiano Support
  • 0.0.4
    • Changed MAFFT configuration
    • Supports matrixfile in MAFFT
  • 0.0.5
    • Minor Bugfix: Error Handling of Volpiano Parsing

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