# MUSICNTWRK: data tools for music theory, analysis and composition

## TL;DR

MUSICNTWRK is a comprehensive Python library offering tools for music theory analysis, network generation, deep learning-based timbre recognition, and data sonification, facilitating advanced music research and composition.

## Contribution

It introduces a versatile, open-source Python toolkit integrating classification, network creation, deep learning, and sonification for music analysis and composition.

## Key findings

- Provides algorithms for pitch class and rhythmic sequence classification
- Enables generation of generalized music and sound networks
- Includes deep learning models for timbre recognition

## Abstract

We present the API for MUSICNTWRK, a python library for pitch class set and rhythmic sequences classification and manipulation, the generation of networks in generalized music and sound spaces, deep learning algorithms for timbre recognition, and the sonification of arbitrary data. The software is freely available under GPL 3.0 and can be downloaded at www.musicntwrk.com or installed as a PyPi project (pip install musicntwrk).