aiXander/Realtime_PyAudio_FFT

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1082 stars · 204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A low-latency Python server that captures live audio from microphone, line-in, or loopback devices and computes realtime features like band energies, a 128-bin log-spaced FFT spectrum, per-band onset triggers, and rolling BPM. It streams these features over OSC over UDP and WebSocket to client apps such as TouchDesigner, Max/MSP, Unity, p5.js, and game engines, with a bundled browser UI for tuning settings.

Use cases

• drive VJ visuals from live audio in TouchDesigner
• send beat and onset triggers to Unity or a game engine
• analyze FFT spectrum from microphone in a p5.js sketch
• detect BPM from streaming audio in realtime
• react to music in Max/MSP or custom scripts over OSC
• run a low-latency audio feature server on a Raspberry Pi

When to choose

• you need realtime audio features (bands, FFT, onsets, BPM) delivered to creative tools over OSC or WebSocket
• you want very low latency (8-15 ms) audio-to-visuals pipelines
• you want a tunable browser UI with persisted presets for audio-reactive setups

When to avoid

• you need offline audio file analysis rather than live streaming input
• you need a Python library API to embed DSP in your own code rather than a standalone server
• you need multichannel or non-localhost networked audio distribution

Facets

application · maturity active

audio-processing streaming http-server websocket monitoring media developer-tools python windows cross-platform cli fft osc pyaudio beat-detection spectral-analysis audio-visualizer vj-tools low-latency touchdesigner creative-coding audio real-time linux macos web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="aiXander/Realtime_PyAudio_FFT")