librosa: Python library for audio and music signal processing, README overview
The README describes librosa as a Python library for audio and music signal processing that provides the foundational algorithms and tools required for building music information retrieval (MIR) systems.
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- commit 51a1c911c2305eba3411f9f80137d5b09d8f139f · source_revision · · availability: unknown
- librosa: Python library for audio and music signal processing, README overview · repository · · availability: available (checked 2026-11-07)
Source: https://github.com/librosa/librosa
What it supplies: The README describes librosa as a Python library for audio and music signal processing that provides the foundational algorithms and tools required for building music information retrieval (MIR) systems.
Useful for: - Analyse audio and music signals in Python as the basis of music information retrieval work.
- Learn the library through the tutorials, look up functions in the API reference and track changes in the change log.
- Cite the exact version you used in research, using the Zenodo DOI or librosa.cite().
First action: - Install with pip install librosa, or with conda install -c conda-forge librosa.
- Start with the tutorials if you are new, then use the API reference for details.
- Read the documentation guide for optional dependencies and advanced setup.
Prerequisites and limits: The README names PyPI and conda-forge as install sources and says optional dependencies are covered in the documentation. It names no Python version or release number to install, and says librosa.cite() exists from version 0.10.2 and BibTeX retrieval from 1.0 onward.
- The README is an index to the documentation and does not describe individual functions.
- It gives no performance, accuracy or hardware information.
- Optional dependencies are not listed in the README.
The README carries a licence badge linking to a LICENSE.md file but does not name the licence in its text, and that file was not read here, so check it before use or redistribution. It asks users to cite the version they used and the relevant method papers. Audio you analyse carries its own rights.
Written from the README text only. Statements are as the README gives them; nothing was installed or run and no audio was analysed.
Based on README text only; the documentation site, the licence file, the API and the code were not read. No install or run was made.
Source inspected: https://raw.githubusercontent.com/librosa/librosa/51a1c911c2305eba3411f9f80137d5b09d8f139f/README.md ; 3905 bytes ; sha256 5887811bcf8720e315cebfcc7ebe62637cc284bf005077dc1a0340a8b97e3b36 ; 8 exact pinned excerpts in the draft pin map
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"usefulness": "- Analyse audio and music signals in Python as the basis of music information retrieval work.\n- Learn the library through the tutorials, look up functions in the API reference and track changes in the change log.\n- Cite the exact version you used in research, using the Zenodo DOI or librosa.cite().",
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}Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied. |