# playcanvas/supersplat

3D Gaussian Splat Editor

Repository: https://github.com/playcanvas/supersplat
Canonical: https://ross.abutalabs.com/products/supersplat
Homepage: https://superspl.at/editor
Language: TypeScript
License: MIT
License Family: permissive
Topics: 3d-gaussian-splatting, playcanvas, webgl, webgpu, pcui, typescript, gaussian-splatting, 3dgs
Last push: 2026-08-26T18:15:22+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 74
- inputs: {"age_days": 1049, "days_push": 7, "days_rel": 8, "gap_med": 2, "n_releases_24m": 134}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9904, forks 1114 (observed 2026-08-28T04:10:38.743071+00:00)

## What it is
SuperSplat is a free, open-source browser-based editor for inspecting, editing, optimizing, and publishing 3D Gaussian Splats. It is built with TypeScript on web technologies (WebGL/WebGPU) and requires no installation.

## Use cases
- edit and clean up 3D gaussian splat scans in the browser
- optimize 3DGS files by removing splats or reducing size
- inspect gaussian splatting PLY files
- publish splats to the web
- convert splat files between formats

## When to choose
- you need a free, no-install tool to edit 3D Gaussian Splats
- you want to clean, crop, or optimize splat scans before export
- you work with PlayCanvas or web-based 3DGS rendering

## When to avoid
- you need full general-purpose 3D modeling (mesh editing, texturing)
- you require offline desktop editing with GPU-heavy local rendering beyond browser limits

## Facets
- artifact type: application
- maturity: active
- function: graphics, image-processing, editor, web-scraping
- domain: graphics, computer-vision, web-development, developer-tools
- platform: browser, cross-platform
- tags: gaussian-splatting, 3dgs, webgl, webgpu, 3d-editor, playcanvas, typescript, web-server, nodejs

## Member repositories
- playcanvas/supersplat (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:38.743071+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:20:20.138108+00:00, confidence not recorded.
  - readme: https://github.com/playcanvas/supersplat (fetched 2026-08-28T04:10:38.743071+00:00, sha d71d4d9e65dd)
  - homepage: https://superspl.at/editor (fetched 2026-08-29T08:20:21.444103+00:00, sha 79107c147506)
- Data as of 2026-08-30T08:39:29.467469+00:00.