luolangaga/tubatools

图吧工具箱 CE

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 17th, 2026
Created on May 25th, 2026
Open Issues & Pull Requests: 59 (+0)
GitHub issues: Enabled
Number of forks: 112
Total Stargazers: 4,148 (+2)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.1 hours
Mean response time: 19.6 hours
90th percentile: 47.0 hours
Tracked items: 125

Most active contributors

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How this project is maintained

Roughly one issue in four opened in the past year never receives a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 22% of tracked open issues have had no activity in three months. 64% of issues opened in the past year have been closed, leaving a working backlog. Three people close 95% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 57
New in 7 days: 8
Closed in 7 days: 13
Avg open age: 60 days
Stale 30+ days: 50
Stale 90+ days: 13

Recent activity

Opened in 7 days: 7
Closed in 7 days: 12
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • bug (13)
  • enhancement (13)
  • wontfix (1)

Most active issues this week

Detailed Description

Tubatools is a system utility toolkit that provides diagnostic and maintenance functions for Windows computers.

The tool addresses the need for consolidated access to common system diagnostics and optimization tasks. Rather than requiring users to navigate through multiple Windows settings panels or install separate utilities, tubatools bundles these capabilities into a single interface. The approach centers on offering straightforward access to system information, hardware diagnostics, and maintenance operations through a unified application.

The toolkit suits users who want a centralized location for routine system checks and basic maintenance without installing numerous specialized tools. It is particularly relevant for those who prefer a graphical interface over command-line diagnostics. The project targets Windows environments and is built using C#, which positions it within the ecosystem of native Windows desktop applications.

Development activity shows consistent engagement with the codebase. The project receives regular updates and commits that address functionality and maintenance. Work is distributed across multiple areas of the toolkit, indicating active development rather than stagnation. The maintainer demonstrates responsiveness to the codebase by regularly pushing changes and improvements.