awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
spotify avatar

spotify/pedalboard

0
View on GitHub↗
spotify.github.io/pedalboard↗

Pedalboard

Features

  • Python Audio Manipulation Libraries - An audio processing library that reads, writes, and transforms audio files with built-in effects and third-party plugin support.
  • Audio File Handling - Opens common audio file formats and reads sample data into arrays with automatic decoding.
  • Directed Audio Graph Architectures - Organizes audio processing as a directed graph of plugin nodes with flexible routing and mixing.
  • Audio Processing - Processes live audio streams through a chain of effects for real-time manipulation.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI
  • Batch Processing - Reads audio files, applies effects, and writes results to disk in common formats automatically.
  • Effect Chains - Chains multiple audio effects and plugins into sequential or parallel processing pipelines.
  • Guitar-Style and Dynamic Effects - Ships built-in guitar-style, dynamic, spatial, pitch, and lossy compression audio effects.
  • Real-Time Effect Processors - Processes live audio streams through effect chains for real-time manipulation of microphone or line input.
  • Live Audio Stream Processors - Streams live audio through an effects chain for real-time manipulation of microphone or line input.
  • Live Audio Effect Processors - Applies effects to live microphone or line input streams for real-time audio manipulation and monitoring.
  • MIDI-Driven Synthesis Platforms - Passes MIDI messages through instrument plugins to generate audio output from note and control data.
  • File-Based Effect Processors - Processes audio files through built-in and third-party plugin effects with format I/O.
  • MIDI Instrument Processors - Passes MIDI messages through instrument plugins to generate audio output from note and control data.
  • MIDI-to-Audio Synthesizers - Passes MIDI messages through instrument plugins to generate audio output from note and control data.
  • Third-Party Plugins - Loads VST3 and Audio Unit instrument and effect plugins on supported operating systems.
  • Audio Plugin Hosting - Loads and runs third-party VST3 and Audio Unit instrument and effect plugins on major operating systems.
  • C++ Plugin Hosting Bridges - Ships a C++ bridge that loads VST3 and Audio Unit plugins and exposes them to Python.
  • VST3 and Audio Unit Hosts - Loads and controls third-party VST3 and Audio Unit instrument and effect plugins with parameter access from Python.
  • VST3 Plugin Hosts - Loads and controls VST3 instrument and effect plugins for audio processing within Python scripts.
  • Training Data Augmentation - Integrates audio effects into data pipelines to augment training audio for model development.
  • Audio Resampling Transformations - Changes the sample rate of audio files or streams during processing with constant memory usage.
  • Parallel Effect Merging - Merges multiple parallel effect chains by summing their outputs with configurable gain.
  • Parallel Effect Chain Combiners - Combines multiple effect chains in parallel and mixes their outputs for layered transformations.
  • ML Audio Augmentation Pipelines - Runs audio effects inside data pipelines to augment training data during model development.
  • Audio Unit Plugin Hosts - Loads and controls Audio Unit plugins on macOS for audio processing within Python scripts.
  • Named Plugin Parameter Controls - Reads and writes plugin parameters using human-readable names and units.
  • Audio Loopback Drivers - Captures live audio from system inputs and routes it through the effect graph with sub-millisecond latency.
    • 5,972 stars·317 forks·C++·gpl-3.0·45 views

    Star history

    Star history chart for spotify/pedalboardStar history chart for spotify/pedalboard

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What are the main features of spotify/pedalboard?

    The main features of spotify/pedalboard are: Python Audio Manipulation Libraries, Audio File Handling, Directed Audio Graph Architectures, Audio Processing, Batch Processing, Effect Chains, Guitar-Style and Dynamic Effects, Real-Time Effect Processors.

    Which projects share features with spotify/pedalboard?

    Projects with overlapping indexed features include: lmms/lmms — LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It… metabrainz/picard — MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the… wwmm/easyeffects — EasyEffects is a real-time audio processor and system-wide effects manager designed for PipeWire audio streams. It… audacity/audacity — Audacity is a cross-platform digital audio workstation and multi-track audio editor. It serves as a comprehensive… jiaaro/pydub — Pydub is a Python audio manipulation library and digital audio processor used for editing, slicing, and converting… sergree/matchering — Matchering is an audio mastering tool and Python library designed to match the frequency balance and loudness of a…

    Projects sharing features with Pedalboard

    These projects share indexed features with Pedalboard. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • lmms/lmmsLMMS avatar

      LMMS/lmms

      10,005View on GitHub↗

      LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It functions as a comprehensive production environment that integrates a MIDI sequencer, a sample-based synthesizer, and an audio mixing console. The project distinguishes itself through a versatile synthesis engine that includes additive synthesis, wavetable generation, and emulations of vintage hardware such as NES audio and FM chips. It also serves as a VST plugin host, allowing for the integration of third-party virtual instruments and audio effects via a standardized interface. Be

      C++dawhacktoberfestmidi
      View on GitHub↗10,005
    • metabrainz/picardmetabrainz avatar

      metabrainz/picard

      4,625View on GitHub↗

      MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the MusicBrainz community music database. It functions as a plugin-extensible tagging framework and a scriptable file organizer capable of reading and writing tags across various audio formats including MP3, FLAC, and WAV. The project is distinguished by its acoustic fingerprint identifier, which matches unknown music files to known recordings via sonic fingerprints. It features a custom scripting language for automating metadata transformations and organizing files into structured folder h

      Pythonacoustidaudioid3
      View on GitHub↗4,625
    • wwmm/easyeffectswwmm avatar

      wwmm/easyeffects

      9,690View on GitHub↗

      EasyEffects is a real-time audio processor and system-wide effects manager designed for PipeWire audio streams. It functions as a comprehensive suite for applying filters, equalizers, and limiters to both input and output audio across the entire system. The project distinguishes itself through its use of deep learning for neural network noise suppression and voice isolation, as well as its ability to simulate physical acoustic environments using impulse-response convolution. It includes a sophisticated preset management system that allows users to associate specific audio configurations with

      HTMLauto-volumecompressorequalizer
      View on GitHub↗9,690
    • audacity/audacityaudacity avatar

      audacity/audacity

      17,181View on GitHub↗

      Audacity is a cross-platform digital audio workstation and multi-track audio editor. It serves as a comprehensive suite for capturing live audio input, refining sound files through splicing and effects, and mixing multi-track audio files using a non-destructive waveform interface. The project functions as a VST3 plugin host, providing a software environment to load and execute audio effects and virtual instruments for real-time signal processing. It also includes an audio spectrum analyzer for visualizing frequencies and waveforms to identify specific sonic characteristics. The software cove

      C++audiocross-platformeditor
      View on GitHub↗17,181
    Compare all 30 related projects→