hufe921/canvas-editor

A Canvas/SVG-based rich text editor

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Summary Information

Updated 49 minutes ago
Added to GitGenius on September 13th, 2026
Created on November 12th, 2021
Open Issues & Pull Requests: 34 (+0)
GitHub issues: Enabled
Number of forks: 863
Total Stargazers: 5,188 (+0)
Total Subscribers: 68 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.2 hours
Mean response time: 21.8 days
90th percentile: 5.2 days
Tracked items: 604

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 18% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 20
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 581 days
Stale 30+ days: 20
Stale 90+ days: 14

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 2
Events in 7 days: 3

Top labels

  • enhancement (189)
  • bug (80)
  • duplicate (48)
  • Awaiting Details (25)
  • unable to reproduce (4)
  • ai (3)
  • question (3)
  • On Hold (2)

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Detailed Description

Canvas Editor is a Canvas/SVG-based rich text editor built with TypeScript that provides WYSIWYG editing capabilities in the browser.

The tool addresses the need for a performant, feature-rich text editor by rendering content directly to Canvas and SVG rather than relying on traditional DOM-based approaches. This rendering strategy allows the editor to handle complex documents efficiently while maintaining precise control over layout and styling. The editor supports a comprehensive set of formatting options including text styling, tables, lists, and embedded elements like date pickers and LaTeX expressions. It can generate PDF output directly from edited content and includes specialized features for medical records through EMR support.

Canvas Editor suits projects requiring a self-contained, embeddable editor that must work reliably across browsers without heavy DOM manipulation overhead. It is particularly valuable for applications handling large documents, medical documentation, or scenarios where PDF generation is a core requirement. The tool works well in environments where you need fine-grained control over rendering and want to avoid the performance constraints of traditional contenteditable-based editors.

The project shows consistent development activity with regular commits addressing bug fixes, feature additions, and performance improvements. The codebase maintains active responsiveness to issues and pull requests, indicating ongoing maintenance and community engagement. Development focuses on expanding editor capabilities while refining the Canvas/SVG rendering pipeline, with particular attention to compatibility across different browser environments and document export formats.