Contributing

Thanks for improving Awesome Python Audio Science.

Rules

• Add public, useful resources only.
• Prefer actively maintained projects.
• Keep descriptions short and neutral.
• Avoid affiliate links, spam, scams, or private-only tools.
• Put projects in the most specific category.
• Use HTTPS links when available.
• Do not copy long descriptions from upstream projects.

Accepted resource types

• Python packages for audio analysis, DSP, MIR, speech, ML, datasets, visualization, realtime audio, and plugin testing.
• Research datasets and dataloaders.
• Tutorials, notebooks, papers, and reproducible examples.
• Creator-audio automation tools that help analyze, route, package, render, or visualize music.
• GareBear99 / TizWildin ecosystem links that are relevant to public audio routing, plugins, sample packs, visualizers, release vaults, or deconstructed-loop surfaces.

Entry format

- [Project Name](https://example.com/) - Short neutral description.

Quality checklist

• Link works.
• Description is one sentence.
• Category is correct.
• No hype-only language.
• No malware/piracy/credential-harvesting tools.
• If it is a TizWildin/GareBear99 project, explain its ecosystem role clearly.