Noodles

The goal of NOODLES is to provide a framework for building real-time, collaborative, 3D data visualizations. Imagine if you are a researcher and you want to visualize the data from your windfarm simulation. If you wanted a 3D visualization you would have to create a bespoke solution for VR headsets, AR glasses, web browsers, etc. Even then, there would be no way to share the data and collaborate with others in real-time. NOODLES establishes a protocol that is agnostic to the hardware and allows for collaborative 3D data visualizations.

My work focused on implementing the protocol in Python and developing tools to make it as easy as possible for researchers to visualize their data. During my time at NREL, I developed three Python packages that enabled immersive 3D visualization workflows.

Penne

A client library that allows users to join a NOODLES session and view 3D data in real-time.

View the Website → View on GitHub →

Rigatoni

A server library that allows users to create NOODLES sessions and share their data.

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Orzo

A 3D rendering application built from scratch using ModernGL and Python. It has been used regularly by researchers for testing and developing NOODLES sessions. I built the shaders from scratch using GLSL, and I tested the application on geometries as large as 12M triangles.

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For more NOODLES-related projects, see the InsightCenterNoodles collection.