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Malt is a fully customizable real-time rendering framework for animation and illustration.
It's aimed at advanced users and technical artists who want more control over their workflow and/or their art style, with special care put into the needs of stylized non photorealistic rendering.

Download | Docs | Forums & Support | Bug Reports | Twitter | Patreon


  • Free and Open Source. MIT License.
  • Real Time Rendering.
  • Complete Blender integration.
  • Built-in Pipeline for Stylized Non Photorealistic Rendering.
  • Code as a First Class Citizen
    • Automatic reloading.
    • VSCode integration, including GLSL autocompletion.
    • Automatic generation of nodes from GLSL functions.
    • Automatic UI for Shader and Pipeline parameters.
    • 100% customizable Python Render Pipelines.

Current State

We've been working on a full redesign of the default nodes before the 1.0 Release.
Give it try and leave your feedback.

Malt is software agnostic, but Blender is the only integration planned right now.


  • OpenGL 4.1+
  • Blender 3.4
  • Windows or Linux

A dedicated Nvidia or AMD graphics card is highly recomended.


  • Go to the latest Release page.
  • Download the BlenderMalt version that matches your OS.
  • Open Blender. Go to Preferences > Addons, click on the Install... button and select from your downloads. (It will take a few seconds)
  • Tick the box in the BlenderMalt panel to enable it.

Altenatively, you can download the Development version to test the latest features.


  • Untick the box in Preferences > Addons > BlenderMalt to disable the addon.
  • Restart Blender.
  • Go back to Preferences > Addons > BlenderMalt, expand the panel and click the Remove button.

First steps

To learn how to use Malt, check the Docs, this playlist and the Sample Files.
The Q&A section is full of info as well.

Developer Documentation

How to setup BlenderMalt for Development.

Developer documentation is best viewed directly in Github, most folders in the source code have relevant documentation.
The Malt folder documentation is a good starting point.