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A toolbox for analysing music collections: folders of audio in, collection-level answers out. Existing tools answer "what is this track?" — musiscape answers "what is this collection?"

• 📦 PyPI — pip install musiscape
• 📖 Documentation
• 🧰 Sibling of ambiscape (soundscapes)

Wiki contents

• Visual Styles — the sixteen thumbnail card styles and two poster modes, with examples
• Methodology and Caveats — what the numbers mean, and where they stop meaning it
• Case Study: A Harp Catalogue — the five-album, 57-track corpus the toolbox was developed on
• Development — architecture, testing, release process, roadmap

The one-command version

pip install musiscape
musiscape report ~/Music/my-collection

produces analysis/README.md with an album table (note density, brightness, dynamics, minor-key share, internal consistency, key-space clustering), overview figures, self-explaining categories, and the corpus extremes. Then browse the pieces visually:

musiscape thumbnails ~/Music/my-collection --style combo
musiscape poster     ~/Music/my-collection

Combine it with listening.