# jasondavies/d3-cloud

Create word clouds in JavaScript.

Repository: https://github.com/jasondavies/d3-cloud
Canonical: https://ross.abutalabs.com/products/d3-cloud
Homepage: https://www.jasondavies.com/wordcloud/
Language: JavaScript
License: BSD-3-Clause
License Family: permissive
Topics: wordcloud, d3, layout-algorithm
Last push: 2026-03-09T14:06:48+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 5320, "days_push": 177, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3950, forks 1058 (observed 2026-08-28T04:08:30.400260+00:00)

## What it is
A JavaScript word cloud layout library inspired by Wordle, built as a D3 layout plugin. It uses HTML5 canvas and sprite masks to place words along a spiral with collision detection at near-interactive speeds.

## Use cases
- generate word clouds in javascript
- create a tag cloud visualization with d3
- render wordle-style word clouds in the browser
- visualize word frequency data as a cloud
- add a word cloud chart to a web app

## When to choose
- you need a D3-integrated word cloud layout with fine API control
- you want canvas-based rendering with configurable fonts, sizes, and rotation angles
- you need event hooks for incremental word placement

## When to avoid
- you need a full-featured charting library rather than a single layout type
- you need server-side rendering without a canvas implementation
- you want words guaranteed to all be placed - unplaceable words are dropped

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, charts
- domain: data-visualization, web-development, frontend
- platform: browser
- tags: word-cloud, d3, canvas, layout-algorithm, wordle-inspired, nodejs, javascript

## Member repositories
- jasondavies/d3-cloud (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.400260+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 2026-08-29T18:24:32.428067+00:00, confidence not recorded.
  - readme: https://github.com/jasondavies/d3-cloud (fetched 2026-08-28T04:08:30.400260+00:00, sha 95aa1438c205)
  - homepage: https://www.jasondavies.com/wordcloud/ (fetched 2026-08-29T09:18:21.516924+00:00, sha 6e0bf49c2017)
  - registry_npm: https://registry.npmjs.org/d3-cloud (fetched 2026-08-29T09:18:21.526239+00:00, sha e72f5ed281b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.