Skip to main content

symbolic music analysis and composition library in Python

Project description

Sebastian will be a symbolic music analysis and composition library written in Python.

I partly think of it as being a “Mathematica for music”. By symbolic, I mean that it will focus more on the sorts of abstractions made by music notation and theories of harmony and counterpoint than lower level numerical operations that one might use in, say, music synthesis.

I hope it to be very practical as an analysis tool for existing compositions (especially from the common practice period) and also a tool for computer-assisted composition. It will also be a bit of a test bed for ideas I’ve had for a while around applying linguistics and abstract algebra to music.

As an initial driver for this attempt at building Sebastian, I’m going to start by writing software for generating a performance of Terry Riley’s In C. This will provide a nice little project by which to motivate finishing off my MIDI library, write a parser for lilypond as I’d like to define the In C patterns (and indeed much in Sebastian) in that notation.

James Tauber jtauber@jtauber.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sebastian-0.0.1.tar.gz (1.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page