This is the API documentation for the VIS Framework for Music Analysis. The VIS Framework is a Python package that uses music21 and pandas to build a flexible and easy system for writing symbolic music analysis computer programs. By providing a free-and-open solution (AGPLv3+) we hope to lower the barrier to empirical music analysis. The VIS Framework was developed at McGill University as part of the ELVIS Project (http://elvisproject.ca). VIS has been presented at conferences, including the International Society for Music Information Retrieval and the Society for Music Theory.
About This Documentation¶
The API is written for programmers interested in symbolic music information retrieval (i.e., music theory analysis performed by computers). Musicologists and programmers alike may access our VIS client at vis-rodan.simssa.ca, and some of our research findings from the ELVIS Project’s website.
The rest of the documentation discusses the VIS Framework’s architecture, how to install and use the framework, and how to add your own analysis tasks.
One-Paragraph Introduction¶
The VIS Framework uses two data models (IndexedPiece and AggregatedPieces) to fetch results for one or multiple pieces, respectively.
Call their get_data() method with a list of analyzer classes to run, and a dictionary with their settings.
After you develop an analysis workflow, add it to the WorkflowManager for more consistent operation.