Software Alternatives & Startups

QT for Python VS PyQt

Compare QT for Python VS PyQt and see what are their differences

QT for Python

Design GUI with Python: Python Bindings for Qt

Rating
0 reviews
PyQt

Riverbank | Software | PyQt | What is PyQt?

Rating
0 reviews

Which is more popular?

Based on our record, PyQt seems to be more popular. It has been mentioned 4 times since March 2021.

social mentions
0 vs 4
Developer Tools popularity
23% vs 77%
alternatives listed
20 vs 86

Base details

Website, pricing, platforms and company facts side by side.

QT for Python
PyQt
Website qt.io riverbankcomputing.com
Listed in

Features and specs

What each product offers, as listed by its team.

QT for Python 5 features
PyQt 6 features
  • Comprehensive Framework
    Qt for Python provides a comprehensive set of libraries and functionalities for building complex and high-performance applications, making it a great tool for developers who need extensive capabilities in their applications.
  • Cross-Platform Compatibility
    It allows developers to write code once and deploy it across multiple platforms, such as Windows, macOS, Linux, and embedded devices, without significant modifications.
  • Consistent User Interface
    Qt for Python offers standardized widgets and UI components, ensuring that applications have a native look and feel on different platforms, enhancing the user experience.
  • Strong Community and Support
    A robust community and extensive documentation are available, which can be beneficial for learning, troubleshooting, and enhancing productivity.
  • Integration with C++
    Qt for Python can seamlessly integrate with existing C++ code, allowing developers to leverage the performance and features of C++ libraries.

Possible disadvantages

  • Steep Learning Curve
    Due to its extensive features and capabilities, Qt for Python may have a steep learning curve for beginners or developers who are new to the framework.
  • Complexity
    For simple applications, the complexity and overhead of the Qt framework might be overkill, making it less suitable for small-scale projects.
  • Licensing
    While Qt for Python is available under GPL and LGPL licenses, some features and tools are limited to commercial licenses, potentially increasing costs for commercial applications.
  • Performance Overhead
    Compared to native C++ Qt applications, Qt for Python might introduce a performance overhead due to the additional layer between Python and the Qt libraries.
  • Limited Native Python Feel
    Qt's C++ heritage sometimes means that the Python APIs may not feel as 'pythonic' as developers might expect, possibly requiring adjustments for Python developers used to a different programming style.
  • Comprehensive UI library
    PyQt provides a wide range of UI components, from basic widgets to advanced tools. This allows for the creation of highly sophisticated interfaces.
  • Cross-platform
    Applications built with PyQt can run on different operating systems such as Windows, macOS, and Linux without requiring significant changes in the code.
  • Integration with Qt Designer
    Developers can use Qt Designer to design and implement their UIs visually, which can then be seamlessly integrated with Python code in PyQt.
  • Powerful event handling
    PyQt includes a highly efficient event handling system that makes it easy to manage user interactions and system events.
  • Good documentation and community support
    PyQt is well-documented, and there's a large community of developers who can provide support and share resources.
  • Python-specific advantages
    Leveraging Python's simplicity and readability, PyQt allows for rapid development and easy maintenance of applications.

Possible disadvantages

  • License considerations
    PyQt is available under the GPL and a commercial license. If you want to create proprietary software without open-sourcing your code, you need to purchase a commercial license.
  • Steep learning curve
    While PyQt is powerful, it can have a steep learning curve for newcomers, particularly those who are not familiar with Qt and its paradigms.
  • Performance overhead
    Being a binding for Qt, some operations may have extra overhead compared to native Qt applications written in C++.
  • Dependency on external libraries
    PyQt relies on the Qt library, which means that you have to manage and distribute these dependencies along with your application.
  • Large binary sizes
    Applications created with PyQt can result in relatively large binary sizes because of the included Qt binaries.
  • Fragmentation of tools
    There can be fragmentation concerns, as PyQt must stay in sync with Qt, and different versions of Qt may introduce changes that are not immediately reflected in PyQt.

Analysis

An editorial look at what each product does well and who it suits.

QT for Python
PyQt

No analysis of QT for Python yet.

Overall verdict

  • PyQt is considered a good choice for developers looking to create robust, high-performance desktop applications with Python. Its ability to leverage the powerful Qt framework makes it a reliable option for both beginners and experienced developers.

Why this product is good

  • PyQt is a set of Python bindings for the Qt libraries, allowing developers to create cross-platform applications with native look and feel. It provides comprehensive support for building GUI applications and includes an extensive range of modules and functions, making it suitable for both simple and complex projects. Additionally, it benefits from a large and active community, extensive documentation, and commercial support from Riverbank Computing.

Recommended for

  • Developers looking for cross-platform GUI toolkits
  • Projects that require a modern, native look and feel
  • Development teams requiring robust commercial support
  • Python developers interested in leveraging a well-documented and extensive framework

Videos

Walkthroughs and reviews on video.

QT for Python 0 videos + Add
PyQt 2 videos + Add

No QT for Python videos yet. You could help us improve this page by suggesting one.

Python Top 3 GUI Frameworks In 2019 (PyQt5, wxPython, TKinter)

More videos

  • - 82 PyQt Review

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
QT for Python
PyQt
23% 23%
77% 77%
100% 100%
0% 0%
16% 16%
84% 84%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

QT for Python no reviews yet
PyQt no reviews yet
  • 10 Best Python Libraries for GUI
    www.unite.ai · Jul 2022

    Another top Python GUI library is PySide2, or QT for Python, which offers the official Python bindings for Qt (PySide2). It enables the use of its APIs in Python applications, and the binding generator tool can be...

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

QT for Python 0 mentions
PyQt 4 mentions

Tracking QT for Python since Apr 2023.

  • Python vs. JavaScript: Is It a Fair Comparison?
    JavaScript is a clear winner in the category of mobile development. There are some niche frameworks to do mobile development with Python—like Kivy and PyQT—but pretty much nobody uses them. - Source: dev.to / over 4 years ago
  • what would be the best looking GUI framework to develop a desktop python application? (other than Tkinter)
    If none of those are to your liking, you can use PyQT (or Pyside) but the learning curve is much steeper. Source: over 4 years ago
  • Is there a "Windows Forms" GUI designer for Python?
    Also, there is the PyQt module which is a comprehensive set of Python bindings for the Qt GUI. It has Qt Designer. Source: about 5 years ago

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Alternatives to QT for Python and PyQt

When comparing QT for Python and PyQt, you can also consider the following products.