ivanceras/svgbob

Convert your ascii diagram scribbles into happy little SVG

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Summary Information

Updated 8 minutes ago
Added to GitGenius on September 16th, 2026
Created on October 9th, 2016
Open Issues & Pull Requests: 39 (+0)
GitHub issues: Enabled
Number of forks: 125
Total Stargazers: 4,229 (+0)
Total Subscribers: 38 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.1 hours
Mean response time: 128.4 days
90th percentile: 513.3 days
Tracked items: 4

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 995 days
Stale 30+ days: 5
Stale 90+ days: 5

Recent activity

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

Top labels

  • enhancement (1)
  • feature-request (1)
  • help wanted (1)

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Detailed Description

Svgbob is a tool that converts ASCII art diagrams into SVG graphics.

The tool solves the problem of transforming hand-drawn or typed ASCII diagrams into scalable vector graphics suitable for documentation and presentations. It works by parsing ASCII art patterns and interpreting them as geometric shapes, lines, and text elements, then rendering these as SVG output. This approach allows developers and technical writers to sketch diagrams quickly in plain text while producing publication-quality vector graphics without requiring specialized drawing software.

Svgbob suits projects where ASCII diagrams are already part of the workflow, such as technical documentation, architecture diagrams, flowcharts, and inline code comments. It is particularly valuable for teams that prefer text-based workflows and version control friendly formats. The tool works well for anyone who finds ASCII art faster to create than using graphical editors, or who wants to maintain diagrams as plain text in repositories. It is less suitable for complex illustrations or designs requiring precise pixel-level control or artistic elements beyond geometric shapes.

The project shows consistent maintenance with regular updates addressing bugs and feature requests. Development activity demonstrates responsiveness to user feedback, with issues being addressed and improvements incorporated into releases. The codebase maintains a focus on core functionality while remaining open to enhancements that expand the range of ASCII patterns the tool can recognize and convert.