zhom/donutbrowser

Simple Yet Powerful Anti-Detect Browser 🍩

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 18th, 2026
Created on May 29th, 2025
Open Issues & Pull Requests: 29 (+0)
GitHub issues: Enabled
Number of forks: 410
Total Stargazers: 3,866 (+0)
Total Subscribers: 18 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.6 hours
Mean response time: 22.2 hours
90th percentile: 2.6 days
Tracked items: 211

Most active contributors

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How this project is maintained

About 7% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 87% of issues opened in the past year have been closed, leaving a working backlog. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 26
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 39 days
Stale 30+ days: 5
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (117)
  • enhancement (30)
  • stale (15)
  • wontfix (1)

Most active issues this week

Detailed Description

Donut Browser is an anti-detect browser that masks browser fingerprints and automates browser management to prevent detection and tracking.

The tool addresses the problem of browser fingerprinting, where websites identify and track users through characteristics like user agent, screen resolution, and installed fonts. Donut Browser works by spoofing these fingerprint signals and managing browser profiles, allowing users to operate multiple distinct browser identities. The project is built in Rust and provides browser automation capabilities alongside fingerprint masking, enabling both manual browsing and programmatic control of browser instances.

Developers should consider Donut Browser if they need to manage multiple browser profiles with distinct fingerprints for testing, privacy-focused applications, or automation workflows that require avoiding detection. The tool suits projects involving browser automation, profile management, and scenarios where maintaining separate browser identities is essential. The project positions itself as simple yet powerful, suggesting it aims for ease of use without sacrificing capability.

Development activity shows consistent engagement with the codebase. The project maintains an active commit history with regular updates to core functionality. Pull requests are reviewed and merged, indicating ongoing maintenance and feature development. Issue tracking shows responsiveness to user-reported problems and feature requests, with discussions that suggest the maintainers engage with the community about the tool's direction and capabilities.