# spotify/pedalboard

🎛 🔊 A Python library for audio.

Repository: https://github.com/spotify/pedalboard
Canonical: https://ross.abutalabs.com/products/pedalboard
Homepage: https://spotify.github.io/pedalboard
Language: C++
License: GPL-3.0
License Family: copyleft
Topics: vst3, vst3-host, python, juce, audio-unit, pybind11, audio-processing, audio-production, audio-research, audio, augmentation, machine-learning
Last push: 2026-08-24T17:19:12+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 80, longevity 100
- inputs: {"age_days": 1884, "days_push": 9, "days_rel": 56, "gap_med": 53, "n_releases_24m": 10}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6280, forks 350 (observed 2026-08-28T04:09:41.249649+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: audio-processing, machine-learning, sdk
- domain: machine-learning, media
- platform: python, windows, cross-platform
- tags: vst3, audio-unit, audio-effects, data-augmentation, audio-io, juce, pybind11, tensorflow, audio, macos, linux

## Member repositories
- spotify/pedalboard (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.249649+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 2026-08-29T17:46:28.121272+00:00, confidence not recorded.
  - readme: https://github.com/spotify/pedalboard (fetched 2026-08-28T04:09:41.249649+00:00, sha 772c58e3c990)
  - homepage: https://spotify.github.io/pedalboard (fetched 2026-08-29T08:42:59.538348+00:00, sha c9acc40c0414)
- Data as of 2026-08-30T08:39:29.467469+00:00.