tonquer/picacg-qt

哔咔漫画, PicACG comic PC client(Windows, Linux, MacOS)

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 13th, 2026
Created on February 5th, 2021
Open Issues & Pull Requests: 94 (+0)
GitHub issues: Enabled
Number of forks: 223
Total Stargazers: 5,224 (+0)
Total Subscribers: 29 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 16.6 hours
Mean response time: 32.5 days
90th percentile: 125.6 days
Tracked items: 74

Most active contributors

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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 6% of issues opened in the past year have been closed. Three people close 53% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 54
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 398 days
Stale 30+ days: 54
Stale 90+ days: 51

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (60)
  • enhancement (22)

Detailed Description

PicACG-Qt is a desktop comic client application built with Qt that runs on Windows, Linux, and macOS.

The tool addresses the need for a native desktop interface to access and manage comic content from the PicACG platform. It implements most of the platform's functionality through a Qt-based graphical interface, allowing users to browse, view, and download comics. The application includes image upscaling capabilities through integration with Waifu2x, RealCUGAN, and RealESRGAN algorithms for enhancing image quality.

The project suits users who prefer a dedicated desktop application over web-based access and want native support across multiple operating systems. It is particularly relevant for those interested in technical exploration of Qt application development with Python. The tool requires platform-specific setup: Windows users need Visual Studio runtime libraries and Vulkan libraries for full functionality, macOS users can install via the standard application folder method, and Linux users must install Qt dependencies and optionally Vulkan drivers for upscaling features.

Development activity shows consistent cross-platform support with compiled releases available for Windows, macOS, and Linux architectures. The project includes automated build infrastructure through GitHub Actions for generating releases across different systems. Documentation covers platform-specific installation and dependency requirements, indicating attention to the practical deployment challenges of multi-platform desktop applications.