Awesome GitHub RepositoriesPyQt Application Frameworks

PyQt-Fluent-Widgets is a Python GUI component library and framework extension that provides a set of pre-styled UI components following modern Fluent design standards. It replaces standard PyQt controls with a specialized widget set designed for building contemporary desktop applications. The library distinguishes itself by offering advanced layout patterns, such as waterfall grids, loading skeleton screens, and split-view application shells. It provides a comprehensive collection of high-level interface elements, including navigation menu systems, configuration setting cards, and complex vie

本项目是一个实现模式和源代码示例的集合，用于使用各种 Python 界面库构建桌面应用。它为多个框架提供了参考实现和架构模式，包括 PyQt、PySide、Tkinter、Kivy 和 Streamlit。 该仓库的特色在于为不同的界面类型提供专业示例，范围从专业桌面软件和原生窗口到响应式 Web 数据仪表板和数据科学工具。它包括针对跨平台 UI 模式（如 MV 布局和异步后台任务执行）的特定参考资料。 该项目涵盖了广泛的功能，包括布局管理、带动画的自定义组件开发，以及用于实时可视化的 GPU 加速渲染。它还演示了诸如基于代理的过滤和表格数据样式等数据管理技术，以及将源代码打包为带有嵌入资产的可分发可执行文件的部署工作流。 这些示例进一步解决了功能性 UI 组件（如输入验证、导航菜单和系统托盘集成），以及用于用户身份验证和基于角色的访问控制的安全实现。

PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for