# libAudioFlux/audioFlux

A library for audio and music analysis, feature extraction.

Repository: https://github.com/libAudioFlux/audioFlux
Canonical: https://ross.abutalabs.com/products/audioflux
Homepage: https://audioflux.top
Language: C
License: MIT
License Family: permissive
Topics: audio, audio-analysis, audio-features, python, music, music-information-retrieval, spectrogram, wavelet-transform, spectral-analysis, wavelet-analysis, time-frequency-analysis, mfcc, pitch, mir, music-analysis, signal-processing, audio-processing, deep-learning, machine-learning
Last push: 2026-03-06T04:12:17+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 70, release rhythm 8, longevity 94
- inputs: {"age_days": 1325, "days_push": 180, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3351, forks 146 (observed 2026-08-28T04:07:57.842288+00:00)

## What it is
audioFlux is a C-based library with Python bindings for audio and music analysis and feature extraction. It supports dozens of time-frequency transform methods and hundreds of feature combinations for deep learning tasks like classification, separation, MIR, and ASR.

## Use cases
- extract mel spectrograms and MFCC features from audio
- compute CQT and chroma features for music analysis
- detect pitch for instrument tuning
- extract audio features for deep learning model training
- perform time-frequency analysis of audio signals
- music information retrieval feature extraction
- pitch shift and time stretch audio

## When to choose
- you need high-performance audio feature extraction in C with a Python API
- you want many time-frequency transform methods in one library
- you need mobile support (iOS/Android) for real-time audio analysis
- you're building MIR, ASR, or audio classification pipelines

## When to avoid
- you need audio playback, editing, or DAW functionality
- you only need simple file I/O or format conversion
- you need a pure-Python dependency-free solution

## Facets
- artifact type: library
- maturity: active
- function: audio-processing, machine-learning, nlp
- domain: machine-learning, deep-learning, speech-processing
- platform: python, windows, cpp, cross-platform
- tags: audio-analysis, feature-extraction, music-information-retrieval, spectrogram, mfcc, pitch-detection, wavelet-transform, signal-processing, mir, audio, linux, macos, ios, android

## Member repositories
- libAudioFlux/audioFlux (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:57.842288+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:40:57.688343+00:00, confidence not recorded.
  - readme: https://github.com/libAudioFlux/audioFlux (fetched 2026-08-28T04:07:57.842288+00:00, sha 0077cdffb378)
  - homepage: https://audioflux.top (fetched 2026-08-29T09:34:07.041528+00:00, sha 4836f8686eb6)
  - site_page: https://audioflux.top/installation.html (fetched 2026-08-29T09:34:07.051818+00:00, sha b9954cd12cae)
  - site_page: https://audioflux.top/quickStart/quickStart.html (fetched 2026-08-29T09:34:07.054985+00:00, sha 125fc218eb82)
  - site_page: https://audioflux.top/changelog.html (fetched 2026-08-29T09:34:07.057164+00:00, sha d7f87048041b)
- Data as of 2026-08-30T08:39:29.467469+00:00.