Homeβ€Ί Projectsβ€Ί pedalboard
pedalboard
C++

pedalboard

πŸŽ› πŸ”Š A Python library for audio.

by spotify Β· GitHub
Stars
Forks
License
Created
Last commit
Category
Language
audioaudio-processingaudio-productionGPL-3.0C++
View on GitHub
In plain words

Read, write, and add effects to audio files using a Python library designed for audio processing.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
pedalboard β€” GitHub preview card
πŸ“ˆ Star history
6.21k6.20k
2026-07-042026-08-31
πŸ“ˆ Track pedalboard

Get an email alert on its next release or when it starts trending β€” never miss the moment.

Free Β· no card Β· unsubscribe anytime
Get email alerts β†’
πŸ“„ About

πŸŽ› πŸ”Š A Python library for audio.

pedalboard has 6.2k stars on GitHub. It has been forked 344 times. pedalboard is written mainly in C++. It has been in active development since 2021. pedalboard is available under the GPL-3.0 license. Its main topics are audio, audio-processing, audio-production, audio-research.

Frequently asked questions

What is pedalboard?

πŸŽ› πŸ”Š A Python library for audio.

Is pedalboard open source?

pedalboard is an open-source project. It is released under the GPL-3.0 license.

Is pedalboard free?

Yes. pedalboard is free and open source β€” you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does pedalboard use?

pedalboard is available under the GPL-3.0 license.

What language is pedalboard written in?

pedalboard is written mainly in C++.

πŸ… Maintainer of this project?
olud.ai badge β€” pedalboard

Add this live badge to your README β€” your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=spotify-pedalboard)](https://olud.ai/project/spotify-pedalboard.html)
More badge options β†’
🧬 Shares DNA with🧬 View the DNA map β†’

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.