List of Python GUI Library and Packages
Last Updated :
15 Sep, 2025
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 licensed | Performance 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 toolkit | Steeper learning curve |
Wide adoption in industry | Licensing 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 tools | Documentation can be lacking |
Lightweight and easy to learn | Limited features compared to others |
Suitable for simple GUI applications | Less 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 toolkit | smaller user base compared to others |
Familiar API for those with Windows GUI | Not 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 Python | Less cross-platform compatibility |
Extremely easy to learn and use | Limited customization options |
Rapid prototyping | Not 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.
- 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 applications | Learning curve may be steep |
Integrates with Qt Designer | Limited community and resources |
Provides a visual form designer | Less flexibility compared to pure PyQt |
Related Articles:
Explore
Python Fundamentals
Python Data Structures
Advanced Python
Data Science with Python
Web Development with Python
Python Practice