bader-comsar 0.0.10

Computational Music and Sound Archiving

comsar — Computational Music and Sound Archiving

comsar is a Python toolkit for content-based analysis of music and sound, with a focus on ethnomusicology (timbre, pitch/melody, tonal systems, rhythm and corpus visualisation with Self-Organizing Maps).

It is the top layer of a three-package stack maintained by Rolf Bader:

Package	Role	Repository
apollon	Backbone: audio I/O, feature extraction, HMM, SOM (C-accelerated)	codeberg.org/rbader/apollon
chainsaddiction	Poisson Hidden-Markov-Models in C (used for rhythm / time-series)	codeberg.org/rbader/chainsaddiction
comsar	High-level music analysis (PitchTrack, TimbreTrack, tonal systems, SOM)	codeberg.org/rbader/comsar

This fork combines the modern comsar code base with the pitch-tracking and tonal-system analysis (PitchTrack) merged back from the older comsar version.

Distribution names. The original PyPI names apollon, comsar and chainsaddiction belong to the upstream authors. This fork is published as bader-apollon, bader-comsar and bader-chainsaddiction. The import names are unchanged: you still write import comsar, import apollon, etc.

Installation (no compiler needed)

Pre-compiled wheels are provided for Windows, macOS and Linux (CPython 3.9–3.13). Installing comsar pulls apollon and chainsaddiction automatically:

pip install bader-comsar

To also run the example notebooks:

pip install bader-comsar jupyterlab

For source builds, step-by-step Windows/macOS/Linux instructions, and troubleshooting, see the full manual.

Quick start

from comsar import PitchTrack, TimbreTrack

# Pitch / melody / tonal-system analysis
pt = PitchTrack()
result = pt.extract("my_audio.wav")
print(result.features)          # pandas DataFrame

# Timbre feature track
tt = TimbreTrack()
timbre = tt.extract("my_audio.wav")

Runnable notebooks are in examples/.

Documentation

• docs/MANUAL.md — full manual: architecture, installation, module reference, example walkthrough, troubleshooting, and how releases/wheels are built.
• examples/ — Jupyter notebooks for the main workflows.

License

BSD-3-Clause. Original work © Michael Blaß; this fork maintained by Rolf Bader.