PyQt vs Kivy

Struggling to choose between PyQt and Kivy? Both products offer unique advantages, making it a tough decision.

PyQt is a Development solution with tags like python, qt, gui, framework, desktop, crossplatform.

It boasts features such as Qt GUI toolkit bindings, Cross-platform desktop app development, Integrated with major Python GUI frameworks like PySide, PyQt5, PyQt6, Object oriented programming design, Signals and slots mechanism for events, Qt Designer integration for rapid UI development, Supports 2D graphics via QPainter, Database access through Qt SQL module, Multithreading support and pros including Rapid GUI application development, Write once, run on Windows, Mac and Linux, Large collection of widgets and controls, Designer tool for drag and drop UI creation, Integrates well with Python ecosystems, Good documentation and community support.

On the other hand, Kivy is a Development product tagged with mobile, multitouch, crossplatform, natural-user-interface.

Its standout features include Cross-platform - can build apps for Android, iOS, Linux, Windows, macOS, Open source under MIT license, Uses Python for core logic, Built-in widgets and tools for building UIs, Support for multitouch gestures, Hardware accelerated graphics, Modular architecture, and it shines with pros like Write once, run anywhere - single codebase for multiple platforms, Large community support, Completely free and open source, Rapid development and easy to learn, Create natural and intuitive user interfaces, High performance through GPU acceleration, Very customizable and extensible.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

PyQt

PyQt

PyQt is a Python binding for Qt, a popular cross-platform GUI toolkit. It enables Python developers to create desktop GUIs by providing Python wrappers for Qt classes.

Categories:
python qt gui framework desktop crossplatform

PyQt Features

  1. Qt GUI toolkit bindings
  2. Cross-platform desktop app development
  3. Integrated with major Python GUI frameworks like PySide, PyQt5, PyQt6
  4. Object oriented programming design
  5. Signals and slots mechanism for events
  6. Qt Designer integration for rapid UI development
  7. Supports 2D graphics via QPainter
  8. Database access through Qt SQL module
  9. Multithreading support

Pricing

  • Open Source

Pros

Rapid GUI application development

Write once, run on Windows, Mac and Linux

Large collection of widgets and controls

Designer tool for drag and drop UI creation

Integrates well with Python ecosystems

Good documentation and community support

Cons

Steep learning curve

Qt framework is complex

Applications can have large memory footprint

Not ideal for web development

Requires Qt runtime installation on target system


Kivy

Kivy

Kivy is an open source Python framework for developing mobile apps and other multitouch application software with a natural user interface. It can run on Android, iOS, Linux, Windows, and macOS.

Categories:
mobile multitouch crossplatform natural-user-interface

Kivy Features

  1. Cross-platform - can build apps for Android, iOS, Linux, Windows, macOS
  2. Open source under MIT license
  3. Uses Python for core logic
  4. Built-in widgets and tools for building UIs
  5. Support for multitouch gestures
  6. Hardware accelerated graphics
  7. Modular architecture

Pricing

  • Open Source

Pros

Write once, run anywhere - single codebase for multiple platforms

Large community support

Completely free and open source

Rapid development and easy to learn

Create natural and intuitive user interfaces

High performance through GPU acceleration

Very customizable and extensible

Cons

Limited documentation

Steep learning curve

Not as feature rich as some commercial options

App size can be large compared to native apps

Not ideal for very complex apps

Not as polished UX as native toolkits