aubio-ledfx
Note: This is a maintained fork of the original aubio project by Paul Brossier, maintained by the LedFx team.
Why this fork exists:
- The original aubio project is no longer actively maintained with regular releases
- We provide Python 3.11-3.15 support with pre-built wheels on PyPI
- This fork includes the latest fixes and improvements from aubio's main branch
- LedFx and other projects depend on aubio and need a reliable, up-to-date package
All credit for aubio goes to the original author Paul Brossier and contributors.
Original project: https://github.com/aubio/aubio This fork: https://github.com/LedFx/aubio-ledfx PyPI package: https://pypi.org/project/aubio-ledfx/
About aubio
aubio is a collection of tools for music and audio analysis.
This package integrates the aubio library with NumPy to provide a set of efficient tools to process and analyse audio signals, including:
- read audio from any media file, including videos and remote streams
- high quality phase vocoder, spectral filterbanks, and linear filters
- Mel-Frequency Cepstrum Coefficients and standard spectral descriptors
- detection of note attacks (onset)
- pitch tracking (fundamental frequency estimation)
- beat detection and tempo tracking
This fork supports Python 3.11 through 3.15 on Linux (x86_64, ARM64), macOS (Intel, Apple Silicon), and Windows (AMD64).
Installation
Install from PyPI:
pip install aubio-ledfx
Pre-built wheels are available for:
- Linux: x86_64, ARM64 (manylinux)
- macOS: Intel (x86_64), Apple Silicon (ARM64)
- Windows: AMD64
Links
- PyPI package
- module documentation
- installation instructions
- aubio manual
- original aubio homepage
- issue tracker (this fork)
Demos
Some examples are available in the python/demos folder. Each
script is a command line program which accepts one ore more argument.
Notes: installing additional modules is required to run some of the demos.
Analysis
demo_source.pyuses aubio to read audio samples from media filesdemo_onset_plot.pydetects attacks in a sound file and plots the results using matplotlibdemo_pitch.pylooks for fundamental frequency in a sound file and plots the results using matplotlibdemo_spectrogram.py,demo_specdesc.py,demo_mfcc.pyfor spectral analysis.
Real-time
demo_pyaudio.pyanddemo_tapthebeat.pyuse pyaudiodemo_pysoundcard_play.py,demo_pysoundcard.pyuse PySoundCarddemo_alsa.pyuses pyalsaaudio
Others
demo_timestretch.pycan change the duration of an input file and write the new sound to disk,demo_wav2midi.pydetects the notes in a file and uses mido to write the results into a MIDI file
Example
Use demo_timestretch_online.py to slow down loop.wav, write the results in
stretched_loop.wav:
$ python demo_timestretch_online.py loop.wav stretched_loop.wav 0.92
Building from Source
This fork uses the Meson build system and vcpkg for dependency management.
Quick Build
# Install build dependencies
pip install "meson>=1.9.0" meson-python ninja numpy
# Build and install
pip install .
For detailed build instructions, see the main README.
Built with
The core of aubio is written in C for portability and speed. The pre-built wheels on PyPI are built with every optional feature that works in a Python package, the same on every platform:
- NumPy integration for efficient array processing
- ffmpeg for reading almost any audio or video file (MP4/AAC, MKV, WebM, ...)
- libsndfile for reading and writing WAV, AIFF, FLAC, Ogg Vorbis, Opus and MP3
- FLAC and Ogg Vorbis sinks, and a built-in WAV reader and writer
- libsamplerate for high-quality resampling
- rubberband for time-stretching and pitch-shifting
- on macOS, the Accelerate framework (FFT and vector maths) and CoreAudio (every format macOS can read)
Not included: JACK (only aubio's command-line tools use it), Intel IPP and BLAS (see the appendix, and building from source).
For a detailed breakdown, see the Pre-built Wheel Features appendix below.
Pre-built Wheel Features
This appendix provides a complete breakdown of which optional features are included in the pre-built wheels distributed on PyPI.
Features by Platform
| Feature | Linux | macOS | Windows | Description |
|---|---|---|---|---|
| Audio file input and output | ||||
| ffmpeg/libav | ✅ | ✅ | ✅ | Decode almost any media format (MP4/AAC, MKV, WebM, ...) |
| libsndfile | ✅ | ✅ | ✅ | WAV, AIFF, AU and more, with the codecs below |
| CoreAudio | — | ✅ | — | Native macOS reading and writing (every Apple format) |
| Built-in WAV | ✅ | ✅ | ✅ | WAV reader and writer without external libraries |
| Codecs (through libsndfile) | ||||
| FLAC | ✅ | ✅ | ✅ | Read and write, plus aubio's own FLAC sink |
| Ogg Vorbis | ✅ | ✅ | ✅ | Read and write, plus aubio's own Vorbis sink |
| Opus | ✅ | ✅ | ✅ | Read and write |
| MP3 (mpg123, LAME) | ✅ | ✅ | ✅ | Read and write |
| Resampling and effects | ||||
| libsamplerate | ✅ | ✅ | ✅ | High-quality resampling |
| rubberband | ✅ | ✅ | ✅ | Time-stretching and pitch-shifting |
| FFT | ||||
| Accelerate (vDSP) | — | ✅ | — | Apple's FFT and vector maths |
| ooura | ✅ | — | ✅ | aubio's built-in FFT (power-of-two sizes) |
Each wheel build prints meson's feature summary in its CI log, so this table can be checked against any release's build.
Platform-Specific Notes
Linux (x86_64, ARM64, manylinux_2_28):
- Every dependency is statically linked into the extension, so the wheel
needs no other
.sofiles.
macOS (Intel x86_64, Apple Silicon ARM64):
- Dependencies are statically linked.
- Minimum macOS: 10.15 (Intel), 11.0 (Apple Silicon).
Windows (AMD64):
- Built with MSVC. The dependency DLLs, and the C++ runtime (
msvcp140.dll) rubberband was built against, are bundled inside the wheel by delvewheel.
Features NOT Included in Wheels
These can be enabled when building from source:
- JACK: only aubio's command-line tools use it, and the wheels don't ship
them. From Python, read live audio with
sounddeviceor PyAudio and pass the blocks to aubio. - FFTW:
-Dfftw3f=enabledadds non-power-of-two FFT sizes. aubio's own ooura FFT measured as fast or faster at the usual power-of-two sizes. - Intel IPP (Intel's proprietary libraries) and BLAS: speed-ups only, with no new features.
- Double precision: the wheels use single precision (float32).
Python Version Support
Pre-built wheels are available for:
- CPython 3.11, 3.12, 3.13, 3.14, 3.15
- All wheels include the same feature set per platform
Metadata
Release files for aubio-ledfx 0.4.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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|---|---|---|---|
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Built distributions (wheels)
Total release size: 569.4 MB
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