Sc3nb: a Python-SuperCollider Interface for Auditory Data Science

This paper introduces sc3nb, a Python package for audio coding and interactive control of the SuperCollider programming environment. sc3nb supports Jupyter notebooks, enables flexible means for sound and music computing such as sound synthesis and analysis and is particularly tailored for sonification. We present the main concepts and interfaces and illustrate how to use sc3nb at hand of selected code examples for basic sonification approaches, such as audification and parameter-mapping sonification. Finally, we introduce TimedQueues which enable coordinated audiovisual displays, e.g. to synchronize matplotlib data and sc3nb-based sound rendition. sc3nb enables interactive sound applications right in the center of the pandas/numpy/scipy data science ecosystem. The open source package is hosted at GitHub and available via the Python Package Index PyPI.