7 Python GUI Libraries to Help You Build Better User Interfaces Faster

Hey there!

As an experienced Python developer, I know how important it is to create great user interfaces for your applications. A polished UI improves user experience and makes your app intuitive and a joy to use.

Now there are several ways to build GUIs with Python – you could code everything from scratch or use a GUI library. I highly recommend the latter approach. GUI libraries provide pre-built widgets, tools and components that simplify UI development.

In this comprehensive guide, I will explore the top 7 Python GUI libraries that can help you develop rich interfaces faster. I‘ve used all of these libraries in various projects, so this review comes from my first-hand experience. Let‘s get started!

Benefits of Using a Python GUI Library

Here are some of the biggest advantages of using a GUI library instead of coding UI elements from scratch:

Faster and simpler development – You don‘t have to code widgets like buttons and menus from the ground up. Just use the pre-built ones and customize as needed. This really speeds up app development time.
Rich components – Get an arsenal of ready-made widgets like buttons, inputs, graphs, multimedia etc. Why reinvent the wheel?
Responsive interfaces – GUI libraries handle event handling seamlessly. So your app can respond to clicks, key presses, swipe gestures and more easily.
Cross-platform support – Most good libraries ensure your UI works seamlessly on Windows, Mac and Linux with little or no modification.
Native look and feel – Widgets match the aesthetics of the host OS to provide a familiar user experience. This increases user adoption.
Accessibility – Many libraries support accessibility features like screen readers, high contrast themes and keyboard navigation out-of-the-box.
Customizability – Pre-built widgets can be themed and styled to match your brand identity. Your app‘s UI becomes an extension of your brand.
Integration – GUI libraries play well with other Python code and libs. They don‘t lock you into their own ecosystem.

As you can see, Python GUI libraries solve many complexities of interface development for you. Now let‘s look at some of the best options available.

1. PyQt – Most Powerful Python GUI Library

PyQt is my personal favorite and one of the most popular Python GUI libraries overall. It provides Python bindings for the mature Qt GUI framework.

Qt started life in C++ but is now cross-platform running on Linux, Windows, MacOS, Android, iOS, and more. By exposing Qt‘s extensive capabilities to Python, PyQt enables you to build desktop quality UIs rivaling those made with C++.

Some stellar features of PyQt include:

composable widgets for complex UIs
rapid prototyping with Qt Designer
native look and consistent performance
extensive documentation and large community
bindings for OpenGL, SQL, SVG, Webkit
bindings for QtQuick framework for fluid animated interfaces

This combination of power, features and community makes PyQt an ideal choice for demanding GUI needs. Big name apps like Spyder, Sublime Text, VirtualBox, and more all use PyQt.

Downsides are the steep learning curve and GPL license. But if your app warrants it, I highly recommend learning and using PyQt.

2. Tkinter – Best for GUI Beginners

If you‘re just starting out with Python GUIs, Tkinter is the best place to start. It is bundled with Python itself so you don‘t need to install anything extra.

Tkinter provides an object-oriented interface to the mature Tcl/Tk GUI toolkit. Some of its benefits include:

Ships with Python – nothing to install
Cross-platform – Windows, Mac and Linux supported
Intuitive Pythonic API
Packed with commonly used widgets
Lightweight and responsive
Threaded for safe multiprocessing
Very simple to learn and use

Tkinter is great for building basic interfaces quickly. While it lacks newer capabilities, its simplicity makes Tkinter ideal for learning GUI development.

I‘d recommend starting with Tkinter if you‘re new to Python GUIs. It will get you productive in no time.

3. Dear PyGui – GPU Powered Python GUI

Dear PyGui is an interesting modern Python GUI library powered by GPU rendering. It is inspired by the Dear ImGui C++ interface.

Some salient features provided by Dear PyGui:

GPU accelerated rendering using modern OpenGL
Excellent performance for real-time visualization
Clean and intuitive API
Traditional widgets like buttons, inputs, trees, menus
Advanced plotting and visualization capabilities
Live editing of UI without compile/run cycles
Can be used standalone or integrated into existing code
Actively developed and maintained

Dear PyGui enables building performant and responsive interfaces with Python. It is well suited for data visualization apps that require high frame rates.

The main downside is it being a relatively young project with a smaller community. But if you need speed, Dear PyGui delivers.

4. Remi – Python GUIs in Web Browsers

Remi allows you to build browser-based GUIs for Python apps. It uses web technologies for rendering the interface which has some benefits:

GUI rendered as HTML/CSS/JS works anywhere
No installation needed on client side
Decoupled frontend/backend – interface runs in browser while logic runs on server
Provides common widgets like buttons, inputs, slider, calendars etc.
Python backend handles widget events and callbacks
Integrates into any existing WSGI app and framework
Build admin panels and dashboards for web apps

For use cases where a web interface is suitable, Remi simplifies GUI development and delivers it to the browser. Plus there is zero installation needed by users.

Downsides are lack of native desktop integration and a smaller widget selection. But Remi opens up some interesting possibilities for GUI development with Python.

5. Kivy – GUI Framework for Mobile Apps

Kivy is an open-source Python GUI library designed for rapid mobile app development. It uses OpenGL for hardware accelerated graphics rendering.

Some unique aspects of Kivy:

Cross-platform for desktop, mobile, embedded systems
OpenGL based rendering is very fast
Innovative widgets using multitouch capabilities
Gesture recognition for taps, slides, pinches etc.
Screen manager component to handle multiple interfaces
Live reload to view UI changes in real-time
Extensive theming capabilities
Well suited for creating games and interactive interfaces

Kivy excels at creating great UIs for mobiles and touchscreens. The performance is excellent across desktop and embedded systems too.

Downsides are a moderately steep learning curve and smaller widget selection compared to PyQt and Tkinter. But Kivy is a great choice where mobility and touch UIs are important.

6. PySimpleGUI – Quickly Build Simple GUIs

As the name suggests, PySimpleGUI makes building simple Python GUIs quick and easy. It wraps Tk, Qt, Remi and WxPython backends into a simplified higher level API.

Here are some notable features:

Unified wrapper around major Python GUI libraries
Handles boilerplate code for you
Build basic interfaces with minimal code
Clean and intuitive API
Great documentation with lots of examples
Theme support for custom styling
Easy to pick up for GUI beginners

For simple applications like scripts, utilities, and prototypes, PySimpleGUI delivers GUI capabilities without complexity. As your needs grow, you can migrate to the backend framework directly.

The main downside is PySimpleGUI lacks more advanced widgets and customization options compared to tapping the native frameworks directly. But it accomplishes 80% use cases with 20% effort.

7. PyGTK – Python Bindings for GTK+

PyGTK provides Python bindings for the cross-platform GTK+ UI toolkit. It is mature and provides a full-fledged GUI development environment.

Some notable features of PyGTK:

Provides complete Gtk+ framework features in Python
Wide array of widgets like buttons, menus, toolbars etc.
MVC patterns enable clean program design
Signal/event mechanism for inter-object communication
Highly themeable and stylable visuals
GNOME HIG compliant aesthetics and ergonomics
Integrates with GNOME desktop environment
Pythonic API makes Gtk+ easy to use

PyGTK enables you to build sophisticated GUIs for GNOME-based environments. Performance and visual polish is excellent.

Downsides are a fixed GNOME look and feel across platforms and lack of mainstream momentum currently. But it is still actively maintained and powers apps like the gImageReader OCR software.

Key Criteria for Choosing a Python GUI Library

There is no universally best GUI library for Python that suits all needs. Based on your requirements, consider these aspects to guide your choice:

Skill level – Libraries like Tkinter are beginner-friendly while PyQt and PySide need more learning. Start simple.
App type – Will it be a web, mobile or desktop app? Options like Remi and Kivy are tailored for web and mobile respectively.
Complexity – Prefer simpler libraries like Tkinter for basic UIs. Use Qt frameworks for advanced apps.
Performance – If high frame rates are crucial, choose a hardware accelerated library like Kivy.
License – PySide allows proprietary software while PyQt and Kivy are GPL licensed. Check compatibility with commercial use.
Platforms – Most options support Windows, Mac and Linux. Kivy additionally handles mobile and embedded systems.
Standard widgets – Ensure the library provides all the common widgets your app needs.
Advanced widgets – Some like PyQt offer more complex widgets like data visualizations, multimedia etc.
Ease of use – PyQt and Kivy are richer but have steeper learning curves. Tkinter and PySimpleGUI are easier to pick up.

Keep these factors in mind when selecting a Python GUI framework for your app.

Learn GUI Development with Python

Here are some great resources I recommend to further level up your Python GUI skills:

Real Python Tkinter Tutorial – Very beginner friendly Tkinter introduction
PyQt5 Tutorial – Excellent guide to learn PyQt
wxPython Tutorial – Series of hands-on wxPython guides
Kivy Crash Course – Quick intro to Kivy for mobile GUIs
Dear PyGui Documentation – Mastery guide for high performance Dear PyGui library

Start experimenting with simpler libraries like Tkinter and PyQt first. This will build up your GUI development skills. Then level up to more advanced options like Kivy, wxPython and Dear PyGui for more demanding use cases.

Wrapping Up

I hope this guide gives you a good overview of the most popular and capable Python GUI libraries available today. Each has strengths for particular use cases and levels of expertise.

Try a few options hands-on with small test apps to get a feel for what you are most productive with. Over time, you will identify the 1-2 libraries that suit your style and use cases best.

With the right Python GUI framework by your side, you can focus on building your app‘s core logic and deliver great user interfaces that delight your target users.

Let me know if you have any other questions! I‘m happy to help guide you further in your Python GUI learning journey.