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List of Python GUI Library and Packages

Last Updated : 15 Sep, 2025
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Graphical User Interfaces (GUIs) make software more user-friendly by allowing people to interact with programs through buttons, menus, windows, and other visual elements instead of typing commands. Python, known for its simplicity and versatility, provides a wide range of libraries for building GUIs. Whether you want to create a small desktop tool, a data dashboard, or a cross-platform mobile app, Python has a GUI framework to match your needs.

Below is the list of the most popular Python GUI libraries, along with their key features, advantages.

1. Tkinter

  • Built into Python, no extra installation needed.
  • Provides basic widgets like buttons, labels, and text boxes.
  • Works across Windows, macOS, and Linux.

Advantages of Tkinter

Disadvantages of Tkinter

Excellent documentation larger memory footprint
Lightweight and bundled with Python Limited built-in widgets
Simplicity in basic GUI development Less modern appearance

2. Kivy

  • Cross-platform framework for desktop and mobile apps.
  • Supports multitouch, gestures, and modern UI design.
  • Often used for Android/iOS apps in Python.

Advantages of Kivy

Disadvantages of Kivy

Easy to learn and suitable for small apps Lack of native look and feel
Cross-platform (supports iOS android)Steeper learning curve for complex apps
Open-source and MIT licensedPerformance may suffer in complex apps

3. Streamlit

  • Designed for quickly turning Python scripts into web apps.
  • Popular for data science dashboards and machine learning demos.
  • Runs in the browser, no front-end coding required.

Advantages of Streamlit

Disadvantages of Streamlit

Simple and intuitive interface.

Limited customization options.

Rapid development with real-time iteration.

Scalability challenges for large deployments.

Active community support for assistance and resources.

Lack of advanced UI components.

4. PyQt

  • Python bindings for the Qt framework.
  • Offers a wide range of widgets and tools for professional apps.
  • Suitable for large, complex GUI applications.

Advantages of PyQT

Disadvantages of PyQT

Robust and feature-rich GUI toolkitSteeper learning curve
Wide adoption in industryLicensing restrictions (GPL)

5. PyGUI

  • Lightweight and minimal library for simple GUIs.
  • Cross-platform with a small set of features.
  • Focused on ease of use and clean design.

Advantages of PyGUI

Advantages of PyGUI

Rich set of widgets and toolsDocumentation can be lacking
Lightweight and easy to learnLimited features compared to others
Suitable for simple GUI applicationsLess community support

6. wxPython

  • Wraps the native GUI of the operating system.
  • Creates applications that look and feel truly native.
  • Supports a rich collection of widgets.

Advantages of wxPython

Disadvantages of wxPython

Mature and stable GUI toolkitsmaller user base compared to others
Familiar API for those with Windows GUINot as actively maintained

Pythonic syntax and design

Smaller user base compared to others

7. PySimpleGUI

  • Simplifies GUI building by wrapping Tkinter, Qt, or wxPython.
  • Let's you create windows and layouts with very little code.
  • Ideal for quick prototypes and simple tools.

Advantages of PySimpleGUI

Disadvantages of PySimpleGUI

Easy integration with existing PythonLess cross-platform compatibility
Extremely easy to learn and useLimited customization options
Rapid prototypingNot suitable for complex applications

8. Libavg

  • Built for multimedia-rich applications.
  • Supports animations, videos, and hardware-accelerated graphics.
  • Used for interactive installations and touch-based apps.

9. PyForms

  • Framework for developing form-based desktop and web apps.
  • Provides a visual designer for building interfaces.
  • Useful for data entry, visualization, and management tools.

Pros of PyForms

Cons of PyForms

Well-suited for multimedia applicationsLearning curve may be steep
Integrates with Qt DesignerLimited community and resources
Provides a visual form designerLess flexibility compared to pure PyQt

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