ahmedkhaleel2004/gitdiagram

Free, simple, fast interactive diagrams for any GitHub repository

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 3rd, 2026
Created on December 15th, 2024
Open Issues & Pull Requests: 38 (+0)
GitHub issues: Enabled
Number of forks: 1,233
Total Stargazers: 15,961 (+0)
Total Subscribers: 57 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.8 hours
Mean response time: 4.2 days
90th percentile: 14.3 days
Tracked items: 98

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 9% of issues opened in the past year have been closed. Three people close 96% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 22
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 398 days
Stale 30+ days: 21
Stale 90+ days: 19

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)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

GitDiagram is a tool that converts GitHub repositories into interactive architecture diagrams.

The tool solves the problem of understanding a codebase's structure at a glance by analyzing the repository tree and README to generate a system-level architecture graph rather than simply visualizing folder hierarchies. It uses AI to interpret the repository and create diagrams that show how components relate to each other. Users can click on diagram components to jump directly to the corresponding files or directories on GitHub. The generation streams results in real time, showing the explanation and graph as they are built. The tool supports both public and private repositories, with private access controlled through GitHub tokens stored locally in the browser.

GitDiagram suits developers who need to quickly understand unfamiliar codebases or document system architecture without manual diagramming. It works well for repositories with clear README documentation, since the AI uses that context to infer structure. The tool is free to use and accessible through a simple URL substitution: replacing `hub` with `diagram` in any GitHub URL opens the corresponding diagram. Export options include Mermaid source code or PNG downloads, making diagrams portable for documentation or presentations.

The project uses a modern, focused stack built on Next.js with React and TypeScript, deployed exclusively on Vercel for the live service. Generation runs through same-origin API endpoints with explicit timeout management and distributed cancellation rather than relying on process-local state. Storage uses Cloudflare R2 for artifacts and Upstash Redis for quota tracking and coordination. The tool supports multiple AI providers through configuration, defaulting to OpenAI with OpenRouter available for self-hosted setups. A Docker-based offline recipe is maintained as a cold recovery option, though no separate backend implementation or persistent database layer exists in the primary architecture.