# antvis/Infographic

🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!

Repository: https://github.com/antvis/Infographic
Canonical: https://ross.abutalabs.com/products/infographic
Homepage: https://infographic.antv.vision
Language: TypeScript
License: MIT
License Family: permissive
Topics: infographic, llm, visualization, ai, antv
Last push: 2026-08-21T14:04:18+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 83, longevity 25
- inputs: {"age_days": 356, "days_push": 12, "days_rel": 119, "gap_med": 3, "n_releases_24m": 24}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6385, forks 510 (observed 2026-08-28T04:09:42.998518+00:00)

## What it is
AntV Infographic is a declarative infographic generation and rendering engine for the web, with a custom syntax, ~200 built-in templates, themes, and an editor. It is designed to be AI-friendly, supporting LLM-driven generation with streaming output and rendering.

## Use cases
- generate infographics from text with AI
- render data-driven infographics in a web app
- create professional infographic visuals from data
- embed infographics in React or Vue apps
- build AI agents that produce visual content
- turn structured data into shareable visual stories

## When to choose
- you need high-quality infographics rendered in the browser from declarative syntax
- you want AI/LLM pipelines to generate visual content with streaming rendering
- you want a large library of ready-made infographic templates and themes
- you are already in the AntV ecosystem and need infographic capabilities

## When to avoid
- you need general-purpose statistical charting rather than infographic-style layouts
- you need server-side or print/PDF infographic generation only
- you need a no-code design tool rather than a developer library
- you require a fully stable 1.0 API, as the project is pre-1.0

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, templating, llm-inference, ui-components
- domain: data-visualization, web-development, frontend, artificial-intelligence
- platform: browser
- tags: infographic, declarative-syntax, ai-generation, antv, charts, react, vue, nodejs, typescript

## Member repositories
- antvis/Infographic (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:42.998518+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 2026-08-29T17:45:04.013495+00:00, confidence not recorded.
  - readme: https://github.com/antvis/Infographic (fetched 2026-08-28T04:09:42.998518+00:00, sha a738365f751a)
  - homepage: https://infographic.antv.vision (fetched 2026-08-29T08:42:17.554728+00:00, sha 25bd70dea240)
  - site_page: https://infographic.antv.vision/learn (fetched 2026-08-29T08:42:17.557256+00:00, sha 0429cf25f705)
- Data as of 2026-08-30T08:39:29.467469+00:00.