spotify/pedalboard

Health v2 · maintenance only

Adoption not part of the score

6329 stars · 357 forks observed · 2026-09-29

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Pedalboard is a Python library by Spotify for reading, writing, and processing audio, with built-in effects like reverb, distortion, and EQ. It can also load third-party VST3 and Audio Unit plugins, enabling studio-quality audio effects from Python for ML data augmentation and content creation.

Use cases

• apply audio effects like reverb or distortion from python
• read and write mp3 wav flac files in python
• load vst3 or audio unit plugins in python
• augment audio data for machine learning models
• resample audio files on the fly
• process live audio streams with effects
• add effects to audio without a DAW

When to choose

• you need studio-quality audio effects callable from Python or TensorFlow
• you want dependency-free audio file I/O across macOS, Windows, and Linux
• you need to host VST3 or Audio Unit plugins programmatically
• you're doing audio data augmentation for ML training

When to avoid

• you need a full digital audio workstation GUI for music production
• you need real-time low-latency performance audio in a DAW-grade host
• your project requires a permissive license (GPL-3.0)
• you need MIDI sequencing or virtual instrument hosting beyond plugin loading

Facets

library · maturity active

audio-processing machine-learning sdk machine-learning media python windows cross-platform vst3 audio-unit audio-effects data-augmentation audio-io juce pybind11 tensorflow audio macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="spotify/pedalboard")