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Librosa Python Audio Music Analysis Library

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librosa is a Python library for audio and music analysis. It provides tools for feature extraction, spectral analysis, beat tracking, onset detection, and audio visualization, built on top of NumPy and SciPy for scientific audio computing.

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  • Added June 8, 2026
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A92/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned June 8, 2026

npx -y skills add agentskillexchange/skills --skill librosa-python-audio-music-analysis-library --agent claude-code

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SKILL.md
---
name: "librosa Python Audio and Music Analysis Library"
slug: "librosa-python-audio-music-analysis-library"
description: "librosa is a Python library for audio and music analysis. It provides tools for feature extraction, spectral analysis, beat tracking, onset detection, and audio visualization, built on top of NumPy and SciPy for scientific audio computing."
github_stars: 8294
verification: "security_reviewed"
source: "https://github.com/librosa/librosa"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "librosa/librosa"
  github_stars: 8294
---

# librosa Python Audio and Music Analysis Library

librosa is a Python library for audio and music analysis. It provides tools for feature extraction, spectral analysis, beat tracking, onset detection, and audio visualization, built on top of NumPy and SciPy for scientific audio computing.

## Installation

Use the upstream install or setup path that matches your environment:
- python -m pip install librosa
- conda install -c conda-forge librosa
- Alternatively, you can download or clone the repository and use pip to handle dependencies:
- python -m pip install -e librosa

Requirements and caveats from upstream:
- A python package for music and audio analysis.
- [![PyPI](https://img.shields.io/pypi/v/librosa.svg)](https://pypi.python.org/pypi/librosa)
- python setup.py build

Basic usage or getting-started notes:
- ### Using PyPI
- The latest stable release is available on PyPI, and you can install it by saying
- ### Using Anaconda

- Source: https://github.com/librosa/librosa
- Extracted from upstream docs: https://raw.githubusercontent.com/librosa/librosa/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/librosa-python-audio-music-analysis-library/)

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