git:20260518.feaca2f to git:20260518.642238b
15 added, 6 removed. Audit A to A.
---
name: "audioFlux Audio and Music Analysis Feature Extraction Library"
slug: "audioflux-audio-music-analysis-feature-extraction-library"
description: "audioFlux is a deep learning tool library for audio and music analysis and feature extraction, supporting dozens of time-frequency transforms and hundreds of feature combinations for classification, separation, MIR, and ASR tasks."
github_stars: 3290
verification: "security_reviewed"
source: "https://github.com/libAudioFlux/audioFlux"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "libaudioflux/audioflux"
github_stars: 3290
---
# audioFlux Audio and Music Analysis Feature Extraction Library
audioFlux is a deep learning tool library for audio and music analysis and feature extraction, supporting dozens of time-frequency transforms and hundreds of feature combinations for classification, separation, MIR, and ASR tasks.
## Installation
- Choose whichever fits your setup:
+ Use the upstream install or setup path that matches your environment:
+ - $ pip install audioflux
+ - $ conda install -c tanky25 -c conda-forge audioflux
- 1. Copy this skill folder into your local skills directory.
- 2. Clone the repo and symlink or copy the skill into your agent workspace.
- 3. Add the repo as a git submodule if you manage shared skills centrally.
- 4. Install it through your internal provisioning or packaging workflow.
- 5. Download the folder directly from GitHub and place it in your skills collection.
+ Requirements and caveats from upstream:
+ - [](https://pypi.org/project/audioflux/)
+ - [Python Package Install](#python-package-install)
+ - ### Python Package Install
+
+ Basic usage or getting-started notes:
+ - 
+ - 
+ - The library is cross-platform and currently supports Linux, macOS, Windows, iOS and Android systems.
+
+ - Source: https://github.com/libAudioFlux/audioFlux
+ - Extracted from upstream docs: https://raw.githubusercontent.com/libAudioFlux/audioFlux/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/audioflux-audio-music-analysis-feature-extraction-library/)