Realtime audio analysis in Python to extract audio features from streaming audio and send them over OSC to any client app.
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Updated
May 13, 2026 - Python
Realtime audio analysis in Python to extract audio features from streaming audio and send them over OSC to any client app.
Fast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
music-beat-detector is a library that analyzes a music stream and detects any beat. It can be used to control lights or any magic effect by the music wave.
Package for automatic beat-mixing of music files in Python 🐻🎚
A standalone music visualization with custom MilkDrop2 engine, only for Windows
Audio Analysis Tools plugin for Unreal Engine. Provides a variety of functions for analyzing audio data. Works in conjunction with the Runtime Audio Importer plugin.
Real-time detection of beats from audio, sending out OSC signals for sound-to-light control 🎵💡
This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
Beat detection using microphone input on microcontrollers
Audio beat detection library that supports different audio input devices as source. You can pass a callback for each found beat to the library.
Simply sending the detected BPM to Resolume or any other LJ / VJ Software via OSC commands.
aubio plugins for Vamp
An SDK to develop effects for Nanoleaf Light Panels using features like frequency, beat, or tempo.
Sparkle Motion
Simple song beat detector for javascript
Makes simple music videos to a chosen song by cutting up a video to match the rhythm.
Arduino Sound Reactive Lights. Line-in audio -> beat and tempo detection -> 8 visualisers. For 1 Arduino and up to 100 lights.
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