{"categories":[{"label":"Sound/Audio","url":"https://skillfed.io/packages/category/multimedia-sound-audio"}],"enrichment":{"capability":"pedalboard reads, writes, and processes audio files with built-in effects like reverb, distortion, and equalization, plus support for loading VST3 and Audio Unit plugins.","skillfed_tags":["audio-effects","vst-plugin-loader","ml-augmentation"],"use_cases":["Augment audio datasets for machine learning by applying random effects (reverb, compression, pitch shift) to training data.","Build a guitar effects chain in Python by stacking effects like distortion, chorus, and reverb without a DAW.","Load and automate VST3 plugins from Python to process audio in batch or real-time workflows.","Resample and process large audio files efficiently with minimal memory overhead using on-the-fly resampling.","Integrate audio processing into TensorFlow pipelines for end-to-end ML workflows with augmentation."],"what_it_does":"pedalboard is a Python audio processing library built by Spotify's Audio Intelligence Lab that lets you read, write, and apply effects to audio files and streams. It provides built-in effects\u2014reverb, distortion, compression, equalization, pitch shifting, and others\u2014and can load third-party VST3 plugins (on macOS, Windows, and Linux) and Audio Units (on macOS). The library is designed for speed and thread-safety, releasing Python's GIL to enable multi-core processing without multiprocessing overhead.\n\nThe package is commonly used for audio data augmentation in machine learning pipelines, content creation without a Digital Audio Workstation, and real-time audio processing. It integrates with TensorFlow's tf.data pipelines and supports most common audio formats (WAV, FLAC, MP3, OGG, AIFF) natively on all platforms, with additional format support depending on the OS.","worth_installing":"Yes, if you need to process audio with effects in Python. The library is actively maintained, well-documented, and widely used (top 5000 on PyPI). GPLv3 is a significant constraint: only install if your project can be GPLv3 or if you're using it internally. No known vulnerabilities. Medium install friction is acceptable for a compiled audio library."},"id":"pedalboard","links":{"html":"https://skillfed.io/packages/pedalboard","md":"https://skillfed.io/packages/pedalboard.md","pypi":"https://pypi.org/project/pedalboard/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-08","license_spdx":null,"license_treatment":"copyleft","name":"pedalboard","python_support":"supports_current","summary":"A Python library for adding effects to audio."},"popularity":{"monthly_downloads":4363778,"position":2320,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.9.24"}