# visgl/luma.gl

High-performance Toolkit for WebGL-based Data Visualization

Repository: https://github.com/visgl/luma.gl
Canonical: https://ross.abutalabs.com/products/lumagl
Homepage: https://luma.gl
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: webgl, data-visualization, uber
Last push: 2026-08-25T21:43:05+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 91, longevity 100
- inputs: {"age_days": 3873, "days_push": 8, "days_rel": 61, "gap_med": 14.5, "n_releases_24m": 25}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2465, forks 227 (observed 2026-08-28T04:06:53.655408+00:00)

## What it is
luma.gl is a modular TypeScript toolkit for high-performance GPU rendering and compute on the web, providing a portable device API over WebGPU and WebGL 2 backends. It includes composable shader modules, a Model/Engine layer, glTF 2.0 asset support, GPU transforms, and building blocks for large-scale data visualization.

## Use cases
- render 3D scenes in the browser with WebGPU or WebGL2
- build large-scale GPU-accelerated data visualizations
- load and render glTF 3D assets with PBR materials and animation
- run GPU compute and data transforms without leaving the GPU
- compose reusable GLSL/WGSL shader modules and effects like bloom and SSAO
- render Gaussian splats and volumetric effects in the browser

## When to choose
- you need portable GPU rendering that works on both WebGPU and WebGL 2
- you are building data visualization or 3D graphics on the web at scale
- you want composable shaders and glTF asset support without a monolithic engine
- you need low-level GPU control (buffers, pipelines, passes) with a higher-level option available

## When to avoid
- you need a full game engine with physics, audio, and asset pipelines out of the box
- you target non-web platforms like native desktop or mobile without a browser
- you want a simple high-level scene graph with minimal graphics knowledge
- you need guaranteed API stability, since some packages like @luma.gl/scene are experimental

## Facets
- artifact type: framework
- maturity: active
- function: graphics, data-visualization, machine-learning, developer-tools
- domain: data-visualization, web-development, graphics, frontend
- platform: browser, cross-platform
- tags: webgl, webgpu, gpgpu, shader-modules, gltf, 3d-rendering, gpu-compute, typescript, visualization, web-server, nodejs

## Member repositories
- visgl/luma.gl (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:53.655408+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 2026-08-30T02:29:15.149687+00:00, confidence not recorded.
  - readme: https://github.com/visgl/luma.gl (fetched 2026-08-28T04:06:53.655408+00:00, sha 7c6ebe3d385e)
  - homepage: https://luma.gl (fetched 2026-08-29T10:10:52.667522+00:00, sha e99a0e9ce87f)
  - site_page: https://luma.gl/docs (fetched 2026-08-29T10:10:52.676724+00:00, sha b594c613b2c5)
  - site_page: https://luma.gl/docs/tutorials (fetched 2026-08-29T10:10:52.678601+00:00, sha becfd51222c5)
  - site_page: https://luma.gl/docs/getting-started (fetched 2026-08-29T10:10:52.680514+00:00, sha 37f16d0e3a2b)
  - site_page: https://luma.gl/docs/api-reference/core (fetched 2026-08-29T10:10:52.682417+00:00, sha 4cab067a6b21)
  - site_page: https://luma.gl/docs/api-reference/engine (fetched 2026-08-29T10:10:52.684439+00:00, sha f50541354abd)
  - site_page: https://luma.gl/docs/api-reference/shadertools (fetched 2026-08-29T10:10:52.686162+00:00, sha eb09c912195f)
  - site_page: https://luma.gl/docs/api-reference/shadertools/shader-passes/image-processing (fetched 2026-08-29T10:10:52.687882+00:00, sha 4b9423ece962)
  - site_page: https://luma.gl/docs/api-reference/scene (fetched 2026-08-29T10:10:52.689501+00:00, sha 1e80f87c6dda)
- Data as of 2026-08-30T08:39:29.467469+00:00.