By Lisa Hage modified Jun 10, 2026
~ 3 minutes to read
In the extensive world of successfully evolving programming languages, Python remains the unbeatable king. It is one of the most popular and influential languages in the programming sector.
According to a survey from Stack Overflow Developer in 2025, Python ranks in the list of most used and admired programming languages all over the world. Moreover, the TIOBE index continues to rank Python as the best programming language.
Most of the time, this language is associated with advanced technology, including everything from artificial intelligence and machine learning to automation and web development. However, it is also considered necessary for desktop application development.
Desktop apps, interestingly, are popular and needed in the market. For this reason, developers prioritise Python GUI libraries. GUI frameworks are an easy way for developers to build applications using buttons, charts, windows, menus, forms, and other interactive components.
What professionals need to understand is that there are plenty of Python GUI libraries out there. Each of these serves a different functionality and caters to development needs in its own way. This article is a helpful guide for developers to find out which Python GUI library is suitable for their projects.
Python is recognised as one of the most popular programming languages all over the world, with a vast and rapidly evolving GUI ecosystem. From building desktop and business applications to data visualisation tools and cross-platform mobile apps, choosing the right Python GUI library remains a constant need. It directly impacts user experience, scalability, and development speed.
Often, people think that desktop software has been completely replaced by web applications. However, this is not true as it seems. Desktop applications have plenty of benefits in today's world. Some of these are discussed further.
Most often, desktop applications can process data more efficiently as they run directly on a user's device.
Desktop applications provide better security as sensitive information easily remains within the internal system rather than being transmitted over the web.
Many desktop apps also provide offline access, so you do not require an active internet connection to operate.
Desktop software simplifies hardware integration by directly integrating with scanners, sensors, printers, cameras, and other sorts of industrial equipment.
Desktop software also plays a crucial role in efficiently handling complex workflows.
As of 2026, the demand for Python-based apps continues to rise. Recent reports from recognised platforms indicate the following trends.
Due to these insights, of course, consistently look for GUI frameworks to support API integration and handle large data sets. Also, it is a great way to work across multiple operating systems and deliver seamless user experiences.
Below, we have mentioned the names of the best Python GUI libraries that have turned out to be the strongest in the market.
The first on our list is DK enter — Python’s standard GUI package, which comes preinstalled with Python. Entrepreneurs can consider it as the first GUI framework they will encounter.
It has an outdated appearance.
The app has limited personalisation features.
It is not suitable for enterprise-level projects.
Tkinter is the finest choice for learning GUI development as a beginner. It is considered the best option for educational projects and for creating small desktop tools. Professionals looking to create small business applications can find this platform helpful.
A few examples of its popular use cases include,
PyQt, the second option on our list, is extensively considered as one of the most powerful frameworks for Python GUI. It is built using the QT framework, which is known as the powerhouse for countless commercial applications all over the planet.
As compared to others, it has a steeper learning curve.
For commercial projects, it considers licenses.
PyQt is the best choice for enterprise-level applications and professional desktop products. It is used to build commercial software that is suitable for the market.
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You can define PySide as the official Qt for Python-based projects. In terms of features and working, it provides functionality similar to PyQt. However, it uses a different licensing model. Readers must also know that plenty of organisations consider PySide, as it is more commercially flexible.
PySide can always be considered as an ideal option for enterprise-level solutions and business software. Developers always find it worthy for working on long-term development projects.
The next one over last, Kivy, can be defined as one of the most popular frameworks that helps to build touch-friendly applications. Very different from those traditional desktop-focused libraries, this platform was created by focusing on smartphones and multi-touch interfaces.
Developers can choose Kivy for building touchscreen systems and smartphone applications. This GUI framework is ideal for cross-platform applications and interactive kiosks.
|
Platform |
Supported |
|
Windows |
Yes |
|
macOS |
Yes |
|
Linux |
Yes |
|
Android |
Yes |
|
iOS |
Yes |
The wxPython GUI library helps developers use their C++ for building apps with Python. It allows every project to look native on different operating systems. Rather than rendering custom widgets, the platform uses native controls.
The framework supports a smaller community.
When compared to Qt, it is less modern.
The wxPython GUI library is an ideal choice for building traditional business software and desktop utilities. Also, it is the finest option for developing internal company tools.
Dear PyGui is another framework that has experienced significant growth in the development industry in the past few years. It pays attention to the performance and speed of a platform while working on beginner friendliness. Also, the framework focuses on GPU acceleration, which makes it suitable for real-time apps.
It consists of a smaller ecosystem.
It is not enterprise-friendly.
Dear PyGui Works as the best GUI framework for real-time monitoring and data visualisation. Most developers use it to create engineering software an advanced level scientific application.
Some of the most common uses of this GUI library include,
CustomTkinter, as the name implies, is an extended version of the traditional Tkinter app with the addition of modern-looking widgets. It helps developers to achieve a contemporary interface while remaining simpler than the traditional Tkinter framework.
Most professionals consider the platform an ideal choice for startups and small software products. Also, it is a great choice if you are looking to develop internal business applications.
The last Python GUI library on our list is BeeWare, which is a platform that helps developers to write Python code once while being able to deploy it across multiple platforms. Due to this feature, the project is considered popular among developers. It is gradually gaining traction as a true cross-platform solution provider.
Being an advanced-level GUI library, BeeWare is considered an ideal choice for mobile development. Most entrepreneurs looking to work on their startups find this platform helpful, as it is a great choice to create cross-platform software.
|
Library |
Beginner Friendly |
Enterprise Ready |
Mobile Support |
Performance |
|
Tkinter |
Excellent |
Limited |
No |
Good |
|
PyQt |
Moderate |
Excellent |
Limited |
Excellent |
|
PySide |
Moderate |
Excellent |
Limited |
Excellent |
|
Kivy |
Good |
Good |
Excellent |
Very Good |
|
wxPython |
Good |
Good |
No |
Good |
|
Dear PyGui |
Good |
Growing |
No |
Excellent |
|
CustomTkinter |
Excellent |
Moderate |
No |
Good |
|
BeeWare |
Moderate |
Growing |
Excellent |
Good |
Choosing a GUI framework should never be completely dependent on popularity. We have shared a few key factors that you must consider before making your decision.
Make sure to understand the complexity of a project by asking yourself some basic questions. know whether your project is a simple internal tool or a commercial software product. Also, understand whether the project will be used by more or fewer people.
Remember that being a level project can work easily with Tkinter. whereas large-scale applications require platforms like PyQt or PySide.
When choosing libraries, developers should also know what type of user experience they are looking to deliver through their apps. While some projects may require a simple interface, there may be apps looking for modern layouts, animations, and touch-friendly interfaces.
To develop highly interactive and visually appealing apps, experts recommend GUI libraries such as Kivy, PySide, and PyQt.
Keep in mind that every framework does not provide cross-platform support. For this reason, it is necessary to make sure where you want your app to run. Different frameworks will support different platforms like Windows, Linux, Android, iOS, and macOS.
Always try to choose a framework that supports rapid prototyping. Some popular GUI frameworks recognised for first development speed include Tkinter, CustomTkinter, and Dear PyGui.
If you choose a framework with strong community support, there are better chances for faster troubleshooting, better documentation, more third-party tools, and tutorials. If you want to get lucky in this field, choose GUI libraries like Tkinter, PyQt, PySide, and Kivy.
When considering all the factors, make sure you have paid enough attention to performance requirements. For instance, the framework Dear PyGui can easily develop apps with features including data visualisation, real-time monitoring, and scientific computing.
Entrepreneurs need to understand the importance of licensing as it can significantly impact commercial projects. Always make sure that the library you are choosing offers open-source requirements, distribution rights, and the end commercial licensing fees to avoid complications in the future.
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Professionals working in today’s market can also come across a major trend in shipping by 2026. It talks about the integration of artificial intelligence into desktop applications. More developers are interested in using popular GUI libraries to build predictive analytics tools, machine learning dashboards, AI assistance, and data science applications.
|
AI Framework |
GUI Framework |
|
TensorFlow |
PyQt |
|
TensorFlow |
PySide |
|
PyTorch |
Dear PyGui |
|
Scikit-learn |
Tkinter |
|
OpenAI APIs |
Kivy |
Experts predict that this trend will most likely accelerate because AI adoption is getting popular across industries.
|
Project Requirement |
Best Python GUI Library |
Why It Is a Good Choice |
|
Learning Python GUI development for the first time |
Tkinter |
Comes bundled with Python, easy to learn, and has extensive beginner-friendly documentation. |
|
Building modern-looking desktop applications as a beginner |
CustomTkinter |
Offers a cleaner, more contemporary appearance while maintaining Tkinter's simplicity. |
|
Developing large-scale or enterprise-grade software |
PyQt or PySide |
Provides advanced widgets, powerful development tools, and extensive customisation options for complex applications. |
|
Creating mobile-friendly or cross-platform applications |
Kivy or BeeWare |
Designed to support multiple platforms, including Android and iOS, from a single codebase. |
|
Building data visualisation tools and analytics dashboards |
Dear PyGui |
Delivers high-performance rendering and interactive components suitable for data-intensive applications. |
|
Developing applications that match the operating system's native look and feel |
wxPython |
Uses native UI controls, helping applications feel more integrated with Windows, macOS, and Linux. |
This table will help you understand that a single Python GUI library cannot be considered the best choice for every project. choosing the right library will always depend on performance requirements, development experience, target platform, and long-term goals
As the industry is modernising, the Python GUI landscape is gaining popularity. As a result, there are a few upcoming trends that are most expected to shape the future.
This clearly proves that development professionals were looking to learn and practice skills in modern GUI frameworks will find themselves closer to future opportunities. While the businesses of today are more interested in digital transformation, the software ecosystem will continue to consider Python desktop applications as a valuable part.
In 2026, Python continues to rule the market as one of the most versatile programming languages globally. Every type of developer is fond of its GUI ecosystem. Professionals find a Python GUI library suitable for every kind of project, whether it is a simple utility or a real-time analytics dashboard.
Among all the different types of Python GUI libraries discussed earlier in this article, each framework has its benefits and limitations. The key is to understand your project’s requirements before choosing the right framework. As a developer, which Python libraries do you consider ideal for your project?
If you are an entrepreneur, make sure to connect with a trusted web development company in the UK that can help you make the right decision.
Lisa Hage is an experienced content writer specializing in SEO-friendly blogs, website copy, and engaging marketing content. With a keen eye for detail and a passion for storytelling, she creates compelling content that drives results. She also provides high-quality custom content—contact us via email for more information.
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