Python GUI Libraries

PyQt is a cross-platform GUI toolkit and desktop UI framework that provides Python bindings for the Qt framework. It serves as a widget library for creating graphical user interfaces that maintain consistent behavior and appearance across Windows, macOS, and Linux. The framework enables the development of desktop applications through a collection of pre-built interface components and layout managers. It supports the creation of specialized interface elements with custom styling, window animations, and the integration of web browser components to load and execute scripts alongside native eleme

Kivy is a cross-platform Python GUI framework used to build graphical user interfaces that run on desktop and mobile operating systems from a single codebase. It functions as a multi-touch UI library and a custom widget toolkit, providing a development environment for packaging Python applications into binary installations for Android and iOS. The framework is distinguished by its ability to handle complex multi-touch gestures and interactive input across various devices. It utilizes a specialized domain language for declarative UI construction to separate visual layout definitions from Pytho

Flet is a cross-platform framework that enables developers to build interactive desktop, mobile, and web applications using only Python. By utilizing a declarative programming model, it allows for the construction of complex user interfaces through a hierarchical structure of components, removing the need for specialized knowledge of web-specific languages like HTML, CSS, or JavaScript. The framework distinguishes itself by offloading visual rendering to a high-performance graphics engine while maintaining application logic within a centralized server-side environment. This architecture synch

PySimpleGUI is a Python framework used to build graphical user interfaces. It functions as an adapter-based wrapper that maps multiple GUI toolkit APIs into a single unified interface, allowing for backend-agnostic development across tkinter, Qt, or WxPython. The project uses a layout-based UI definition system where visual hierarchies are defined via nested lists rather than coordinate-based placement. It employs an event-driven polling loop and string-based event mapping to associate interface elements with specific user actions. The framework supports cross-framework GUI design and intera

Eel is a Python HTML GUI framework designed for building desktop applications that utilize a Python backend and an HTML and JavaScript frontend. It functions as a local web server wrapper that hosts application assets and manages the browser window to provide a user interface. The framework provides a bidirectional Python-JavaScript bridge, allowing functions in either language to call each other in real time. It also includes a desktop application bundler to package Python code and web assets into a standalone executable for distribution. The system covers application window management, loc

Toga is a cross-platform application framework and native GUI toolkit for Python. It serves as a multi-platform frontend wrapper that allows a single codebase to be deployed across macOS, Windows, Linux, Android, and iOS. The toolkit functions as a native widget UI library, mapping high-level Python interface definitions directly to the host operating system's own visual components. This ensures that applications use native system widgets to match the look and feel of the target environment rather than relying on custom drawing libraries. The framework covers cross-platform development for d

DearPyGui is a GPU-accelerated, immediate-mode graphical user interface framework for Python. It provides a high-performance toolkit for building interactive desktop applications by leveraging native hardware-accelerated rendering backends across multiple operating systems. By utilizing an immediate-mode execution model, the library offers direct control over the rendering loop and element state, enabling the creation of responsive, dynamic interfaces. The framework distinguishes itself through its ability to handle complex, high-frequency visual updates, making it suitable for real-time data