Eatsbeats

Mobile-first and web-first, highly experimental digital audio workstation (DAW) built with Flutter and powered by Eatscript: a Pythonic audio scripting engine and DSP synthesizer.

Built with:

• Google Antigravity/Gemini for fast AI based development
• Dart/Flutter for cross-platform GUI
• wajuce for native Web Audio execution

---

See it live

▶︎ https://eatsbeats.app/

---

Features

• Native & Web Portability: Built with Flutter and wajuce (native Web Audio backend) for Windows, macOS, Linux, Android, iOS, and Web.
• Bi-Directional Modular Synthesis Studio (Eurorack / VCV Rack style): Real-time visual cable patching synchronized 1:1 with Pythonic Eatscript (def graph():), compiling directly into zero-allocation native C/Dart GraphNode DSP audio trees.
• Hybrid Music Tracker / Piano Roll / Score / Code editor: Real-time sequencing synced to live Eatscript clip automation and MIDI FX pipelines.
• Dynamic GUI Designer: Create and customize hardware instrument interfaces with knobs, sliders, nixie tubes, oscilloscopes, and ADSR envelopes.
• Classic Emulations & Rebirth Template: Built-in procedural 303 acid basslines with slide/accent, 808/909 drum machines, C64 SID, Yamaha FM/OPL3, and SNES DSP chipsets.
• Physical Modeling & SoundFonts: Commuted waveguide piano physical models, Karplus-Strong string synthesis, modal resonator banks, and integrated General MIDI SoundFont support.
• Studio Master Dynamics & Audio FX: Native zero-latency VCA compressors, brickwall peak limiters, multimode state-variable filters, tape delays, and stereo modulated choruses.

---

Getting Started

Prerequisites

• Flutter SDK (3.x or later)

Running Locally

# Clone the repository
git clone https://github.com/maddestlabs/eatsbeats.git
cd eatsbeats

# Fetch dependencies
flutter pub get

# Run Web app locally
flutter run -d chrome

Building Web Release

flutter build web --release --base-href "/" --pwa-strategy=none

---

📄 License & Credits

• App codebase licensed under MIT License.
• Commuted Waveguide Piano Physical Models: Based on research by Balázs Bank, Julien Bensa, Julius O. Smith, and Scott Van Duyne (CCRMA, Stanford University). DSP topology and empirical 88-key breakpoint tables derived from Romain Michon's Faust/STK implementation (physmodels.lib, GRAME / Stanford CCRMA) and David Braun's (DBraun) physical modeling adaptation (STK-4.3 / MIT License).
• Bundled default SoundFont: Super Small Font by nitro-shoe, used under Creative Commons Attribution 4.0 (CC BY 4.0).