# visgl/deck.gl

WebGL2 powered visualization framework

Repository: https://github.com/visgl/deck.gl
Canonical: https://ross.abutalabs.com/products/deckgl
Homepage: https://deck.gl
Language: TypeScript
License: MIT
License Family: permissive
Topics: webgl, data-visualization, javascript, visualization, python, geospatial-analysis, maps
Last push: 2026-08-26T23:41:26+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 100
- inputs: {"age_days": 3914, "days_push": 7, "days_rel": 22, "gap_med": 6, "n_releases_24m": 52}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14526, forks 2262 (observed 2026-08-28T04:11:07.204235+00:00)

## What it is
deck.gl is a GPU-powered (WebGL2/WebGPU) JavaScript framework for high-performance visualization of large datasets, built around composable visual layers and views. It integrates with major basemap providers like Mapbox, MapLibre, Google Maps, and ArcGIS, and offers a Python binding (pydeck).

## Use cases
- visualize millions of points on an interactive map
- render geospatial data with hexbin or heatmap aggregation layers
- build a React dashboard with large-scale data overlays
- visualize 3D point clouds and terrain data in the browser
- create trip and arc visualizations for movement data
- explore large datasets with GPU-accelerated charts from Python via pydeck

## When to choose
- you need performant rendering of very large datasets in the browser
- you are building geospatial or map-based visualizations with basemap integration
- you want a composable, extensible layer architecture with React support

## When to avoid
- you only need simple static charts or plots
- your project targets environments without WebGL/WebGPU support
- you need server-side rendering of visualizations

## Facets
- artifact type: framework
- maturity: stable
- function: data-visualization, graphics, geospatial, charts
- domain: data-visualization, web-development, data-science, frontend
- platform: browser, python, cross-platform
- tags: webgl, webgpu, gpu-rendering, maps, large-datasets, react, pydeck, layers, web-server, javascript

## Member repositories
- visgl/deck.gl (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:07.204235+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 2026-08-29T17:12:30.124479+00:00, confidence not recorded.
  - readme: https://github.com/visgl/deck.gl (fetched 2026-08-28T04:11:07.204235+00:00, sha bd38ced62f81)
  - homepage: https://deck.gl (fetched 2026-08-29T08:06:08.407459+00:00, sha 2060d2bd9081)
  - site_page: https://deck.gl/docs (fetched 2026-08-29T08:06:08.416577+00:00, sha 36d53b3d7824)
  - site_page: https://deck.gl/docs/get-started/getting-started (fetched 2026-08-29T08:06:08.418589+00:00, sha 80ef711ff301)
  - site_page: https://deck.gl/docs/api-reference/layers (fetched 2026-08-29T08:06:08.420489+00:00, sha df9d777c2c31)
  - site_page: https://deck.gl/docs/api-reference/core/deck (fetched 2026-08-29T08:06:08.422253+00:00, sha dbdb95b9f4df)
- Data as of 2026-08-30T08:39:29.467469+00:00.
