antvis/infographic

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

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Summary Information

Updated 57 minutes ago
Added to GitGenius on September 1st, 2026
Created on September 11th, 2025
Open Issues & Pull Requests: 22 (+0)
GitHub issues: Enabled
Number of forks: 544
Total Stargazers: 6,614 (+0)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.3 hours
Mean response time: 28.4 hours
90th percentile: 4.5 days
Tracked items: 65

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 10% of issues opened in the past year have been closed. Three people close 87% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 16
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 170 days
Stale 30+ days: 15
Stale 90+ days: 12

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • feature 💡 (5)
  • bug 🐛 (2)
  • documentation 📖 (1)
  • help wanted (1)
  • oscp (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Infographic is a declarative infographic visualization engine that generates and renders high-quality infographics from structured syntax.

The tool addresses the challenge of creating professional infographics efficiently by providing a declarative syntax designed specifically for infographic composition. It works by accepting configuration that describes the infographic structure, then rendering the result as SVG output. The framework includes around two hundred built-in templates, data-item components, and layout options that can be combined to construct infographics quickly. A key distinguishing feature is its optimization for AI generation: the syntax is tuned to be concise and AI-friendly, supporting streaming output so that AI-generated infographics can be rendered progressively as they are produced. The tool also includes a built-in editor for further refinement of generated results.

Developers should choose this tool if they need to generate infographics programmatically or want to integrate infographic creation into AI-powered workflows. It suits projects where rapid infographic production from data or descriptions is valuable, and where SVG output that preserves visual fidelity and editability is important. The theme system offers both preset options including hand-drawn and gradient styles, and deep customization capabilities. The project provides skills for integration with AI agents, allowing infographic generation to be triggered through AI workflows.

The project maintains active development with regular updates to its template library and skill integrations. The codebase shows ongoing refinement of the infographic syntax and rendering engine. Community adoption is evident through documented ecosystem projects built on the framework. The tool receives continuous enhancement across its core rendering capabilities, theme system, and AI integration features.