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modV logo

GitHub release (latest by date including pre-releases) Documentation Maintenance License: MIT Twitter: @_modV_

modV is a modular audio visualisation environment built upon web technologies.


Find the latest modV binaries available for download in the releases section.

Project development setup


Compiles and hot-reloads for development

yarn electron:serve

Builds for release

yarn electron:build


Removing a package

If you want to remove a package with yarn remove, make sure to run yarn afterwards as we are using patch-package without postinstall-postinstall because of #554.

Platform specifics for building and development



CMD or PowerShell is required as native binaries need to be compiled or fetched for Windows. WSL (Windows Subsystem for Linux) or WSL2 are not supported as they will try to compile those binaries for Ubuntu.


Visual Studio Tools and Python are required by node-gyp, which build native node modules. Since Node.js 16, the official Windows installer can install them.

If you're using nvm-windows or another headless Node.js install, you can easily install the required packages with Chocolatey:

choco install python visualstudio2022-workload-vctools

'vue-cli-service' is not recognized

Please see issue 122 (vcync/modv-3/issues/122#issuecomment-640100114) on how to resolve this.


libndi is required for NDI sources and must be installed for modV to build. You can find that available to download here: Palakis/obs-ndi/releases

Last successful build was with libndi4_4.5.1-1_amd64.deb.

Other Linux flavours

Untested. NDI is provided by grandiose, our fork is here: vcync/grandiose This fork of grandiose has other libndi supported platforms, however even on Ubuntu we needed the above libndi package to be installed.

Let us know how you get on (good or bad) and we'll update the repo and docs accordingly.


Contributions, issues and feature requests are welcome! Feel free to check issues page.

Show your support

Give a ⭐️ if this project helped you!


Thank you to:

  • Tim Pietrusky for his continued support, help, mentorship and kindness
  • Live:JS for inspiration, motivation and advice
  • Hugh Rawlinson, Nevo Segal and Jakub Fiala for the incredible audio analysis engine, meyda
  • Dario Villanueva for his advice and introduction to live visuals which inspired this whole project


Copyright © 2022 vcync. This project is MIT licensed.