bit-datalab/edit-banana

Edit Banana: A framework for converting statistical formats into editable.

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Summary Information

Updated 29 minutes ago
Added to GitGenius on September 12th, 2026
Created on January 16th, 2026
Open Issues & Pull Requests: 39 (+0)
GitHub issues: Enabled
Number of forks: 355
Total Stargazers: 5,479 (+0)
Total Subscribers: 14 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 40.3 hours
Mean response time: 5.3 days
90th percentile: 13.9 days
Tracked items: 34

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 13% of issues opened in the past year have been closed. Three people close 88% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 22
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 136 days
Stale 30+ days: 22
Stale 90+ days: 18

Recent activity

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

Top labels

  • documentation (2)
  • enhancement (2)
  • bug (1)
  • duplicate (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Edit Banana is a framework for converting static image formats into editable diagram representations using artificial intelligence.

The tool addresses the problem of locked-in content by enabling users to upload images of diagrams, charts, and figures and transform them into editable DrawIO XML format. It uses SAM 3 and multimodal large language models to reconstruct diagrams while preserving original details and logical relationships, making previously static visual content fully manipulatable.

The project suits developers and data professionals who need to extract and modify diagrams from images or documents. It works best for users who want to convert visual content into editable formats without manual redrawing. The web-based service at editbanana.net provides the most current implementation, while the GitHub repository is noted to lag behind in features and performance.

The project maintains active community engagement through organized discussion channels. Development appears to acknowledge gaps between the public repository and the production service, with explicit communication about this discrepancy in the README.