  In this work, we introduce musif, a Python package that facilitates the
automatic extraction of features from symbolic music scores. The package
includes the implementation of a large number of features, which have been
developed by a team of experts in musicology, music theory, statistics, and
computer science. Additionally, the package allows for the easy creation of
custom features using commonly available Python libraries. musif is primarily
geared towards processing high-quality musicological data encoded in MusicXML
format, but also supports other formats commonly used in music information
retrieval tasks, including MIDI, MEI, Kern, and others. We provide
comprehensive documentation and tutorials to aid in the extension of the
framework and to facilitate the introduction of new and inexperienced users to
its usage.
