git:20260518.642238b to git:20260710.2925510
11 added, 20 removed. Audit A to B.
---
- name: "audioFlux Audio and Music Analysis Feature Extraction Library"
- slug: "audioflux-audio-music-analysis-feature-extraction-library"
+ title: "audioFlux Audio and 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"
+ 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
- Use the upstream install or setup path that matches your environment:
- - $ pip install audioflux
- - $ conda install -c tanky25 -c conda-forge audioflux
-
- 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.
+ Choose whichever fits your setup:
- - Source: https://github.com/libAudioFlux/audioFlux
- - Extracted from upstream docs: https://raw.githubusercontent.com/libAudioFlux/audioFlux/HEAD/README.md
+ 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.
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/audioflux-audio-music-analysis-feature-extraction-library/)