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    List of Python GUI Library and Packages

    Last Updated : 20 Nov, 2025
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    Graphical User Interfaces (GUIs) allow users to interact with applications through visual components such as buttons, text fields, menus, and windows. Instead of typing commands, users perform actions through interactive elements, making applications easier to navigate and more accessible. Python offers a wide range of GUI libraries suitable for simple desktop tools, data dashboards and full-scale applications.

    Below are some of the most widely used Python GUI libraries and packages, along with their key features, advantages and disadvantages.

    Tkinter

    Tkinter is Python’s standard GUI library that comes pre-installed with Python. It provides essential widgets and a structure for building desktop applications. Tkinter is cross-platform and suitable for beginners to medium-sized tools.

    • Comes bundled with Python, no installation required
    • Works across Windows, macOS, and Linux
    • Clean and manageable code structure
    • Good documentation and long-term community support

    Kivy

    Kivy is a cross-platform framework for building desktop and mobile applications. It supports multitouch, gestures, and is particularly suitable for touch-enabled or mobile interfaces.

    • Works on Windows, Linux, macOS, Android, and iOS
    • Supports multitouch and gesture-based interactions
    • Consistent look across platforms
    • Open-source and actively maintained

    Streamlit

    Streamlit is designed for creating interactive web-based applications directly from Python scripts. It is especially popular for data science dashboards, visualizations, and ML demos.

    • Builds web apps without HTML, CSS, or JavaScript
    • Real-time updates with minimal code
    • Ideal for data exploration and model demos
    • Strong community and plugin support

    PyQt

    PyQt provides Python bindings for the Qt framework a toolkit for professional GUI applications. It includes a large collection of widgets and tools for developing multi-platform applications.

    • Comprehensive set of widgets and tools
    • Excellent for large and advanced applications
    • Works across all major OS platforms
    • Offers layout designers and development tools

    PyGUI

    PyGUI focuses on minimalism and integrates directly with native operating system GUI elements. It provides clean abstractions suited for lightweight applications.

    • Small and lightweight
    • Creates apps with native system look
    • Easy to understand and work with
    • Minimal overhead

    wxPython

    wxPython is a wrapper around the native GUI components of each platform. It creates true native-looking applications and offers a wide range of widgets.

    • Provides native OS look and feel
    • Offers many advanced widgets
    • Mature and stable library
    • Suitable for medium to large applications

    PySimpleGUI

    PySimpleGUI wraps Tkinter, Qt, and wxPython into a simpler interface. It is used for quick prototypes and small tools with minimal code effort.

    • Extremely easy syntax
    • Ideal for quick GUI creation
    • Integrates with multiple backend toolkits
    • Reduces the amount of boilerplate code

    Libavg

    Libavg is a framework for building multimedia applications. It supports animations, video playback, and hardware-accelerated graphics, making it suitable for interactive displays and installations.

    • Hardware-accelerated graphics support
    • Optimized for multimedia and interaction
    • Good for animation-heavy interfaces
    • Scripting-friendly environment

    PyForms

    PyForms is a framework for creating GUI applications with a form-based approach. It works for both desktop and web interfaces and emphasizes structured UI creation.

    • Helpful visual form designer
    • Integrates with Qt Designer
    • Suitable for data-entry or admin tools
    • Supports both desktop and web versions

    Related Articles:

    • Python Tkinter
    • Kivy Tutorial
    • Streamlit Tutorial
    • PyQt
    • PysimpleGUI
    • wxPython
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    Article Tags :
    • Misc
    • Python
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