LibreAI / AI 3D / supersplat-viewer
// ai-3d Β· playcanvas/supersplat-viewer

supersplat-viewer

A fast, friendly viewer for 3D Gaussian splat scenes.

πŸ’Ž Hidden gemβ˜… 580 starsβ‘‚ 159 forksMITupdated 2026-10
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

supersplat-viewer is an open-source ai 3d project by playcanvas (playcanvas/supersplat-viewer on GitHub). It has 580 GitHub stars and 159 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.

GitHub stars
580
Forks
159
License
MIT
Last updated on GitHub
2 October 2026
Category
AI 3D
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

Standard formats

Works with common 3D file formats.

Python API

Scriptable for pipelines and experiments.

Reproducible results

Reference implementation of published work.

Open source

Inspect, cite, and build on the research.

High-quality rendering

Crisp, detailed 3D output from real data.

Fast inference

Optimized for practical generation times.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/playcanvas/supersplat-viewer.git
    cd supersplat-viewer
  2. Step 2 β€” Install dependencies

    Pull in the Node packages the project needs.

    npm install
  3. Step 3 β€” Run it

    Start the dev server and open the printed URL.

    npm run dev
// use cases

What you can build

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// faq

Questions, answered

Who maintains supersplat-viewer?

It is an open-source project at playcanvas/supersplat-viewer with 159 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is supersplat-viewer free to use?

Yes. It is MIT licensed, so you can use it commercially with attribution.

Do I need a GPU?

For generation, yes β€” a CUDA-capable GPU is strongly recommended; viewing works on most machines.

What input does it need?

Photos, multi-view images, or text prompts depending on the method.

Is this research code?

Some entries are official paper implementations β€” expect research-grade docs, not polished apps.

// keep exploring

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// alternatives

Alternatives in AI 3D

The most-starred other AI 3D projects in the LibreAI catalogue β€” the realistic shortlist if supersplat-viewer is not the right fit.

Get supersplat-viewer

Free and open β€” grab the source, star the repo, and start creating.