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LilyPond rules when you want to manipulate music algorithmically. Like make a music reading training app that creates examples based on your performance so far.

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I've had a few attempts with algorithmic lilypond for some technical exercises. It's generally good for getting the basics out, but you either lose the advantages of `relative` mode, or end up with unreadable nonsense. So I find it's good for getting things started / 80% of the work done but then needs tweaks.

Seems like one of the libraries that can output Lilypond (like music21, mingus, abjad, or music-suite) would be better for that purpose.

By way of being useful and for future reference for me:

music21: http://web.mit.edu/music21/

mingus: http://bspaans.github.io/python-mingus/index.html

abjad: https://abjad.github.io/

music-suite: https://music-suite.github.io/docs/ref/

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