Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
doc
 
 
 
 
 
 
vis
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

The VIS Framework

Currently, vis is only supported in Python3.5 and with an old version of pandas==0.18.1. Eventually, we would like to catch up with current releases, in the meantime, you can run vis-framework using a python virtual environment. See an example in the Running in Virtual Environment section

The VIS Framework for Music Analysis

Build Status Coverage Status Latest Version License

The VIS Framework is a Python package that uses the music21 and pandas libraries to build a flexible system for writing computational music analysis programs.

Copyright Information:

  • All source code is subject to the GNU AGPL 3.0 Licence. A copy of this licence is included as doc/apg-3.0.txt.
  • All other content is subject to the CC-BY-SA Unported 3.0 Licence. A copy of this licence is included as doc/CC-BY-SA.txt
  • All content in the test_corpus directory is subject to the licence in the file test_corpus/test_corpus_licence.txt

Software Dependencies

The VIS Framework uses many software libraries to help with analysis. These are required dependencies:

These are recommended dependencies:

Documentation

You can find documentation here:

Running in Virtual Environment

Using anaconda, create and activate a new Python3.5 environment:

conda create -n vis python=3.5
conda activate vis

Install the required packages:

pip install -r vis/requirements.txt

Install vis:

python setup.py install

You should be ready to go

Citation

If you wish to cite the VIS Framework, please use this ISMIR 2014 article:

Antila, Christopher and Julie Cumming. "The VIS Framework: Analyzing Counterpoint in Large Datasets." In Proceedings of the International Society for Music Information Retrieval, 2014.

A BibTeX entry for LaTeX users is

@inproceedings{,
    title = {The VIS Framework: Analyzing Counterpoint in Large Datasets},
    author = {Antila, Christopher and Cumming, Julie},
    booktitle = {Proceedings of the International Society for Music Information Retrieval},
    location = {Taipei, Taiwan},
    year = {2014},
}

You may also wish to cite the software itself:

Antila, Christopher and Jamie Klassen. The VIS Framework for Music Analysis. Montréal: The ELVIS Project, 2014. URL https://github.com/ELVIS-Project/vis.

A BibTeX entry for LaTeX users is

@Manual{,
    title = {The VIS Framework for Music Analysis},
    author = {Antila, Christopher and Klassen, Jamie},
    organization = {The ELVIS Project},
    location = {Montréal, Québec},
    year = {2014},
    url = {https://github.com/ELVIS-Project/vis},
}

About

Thoroughly modern symbolic musical data analysis suite.

Resources

Packages

No packages published