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Electron vs Qt: Why I Ditched Electron for Qt (and When You Shouldn't)
Key Takeaways
Qt for Python is worth the learning time for performance-sensitive cross-platform desktop tools, though Electron still wins when web code reuse matters most.
- Idle memory fell from about 2GB in Electron to about 200MB after my PyQt6 rebuild of an internal data tool.
- One Java app ported to C++ Qt cut startup from 45 seconds to 3 seconds on one machine.
- Qt suits media editing, large scientific datasets, trading dashboards and cross-platform developer tools, where audio control, heavy data loads or constant updates strain a browser-based app.
- In my experience, Python developers become productive in about a month.
- PySide6 is available under LGPLv3/GPLv3 or a commercial edition, while PyQt6 has no LGPL option, so a closed-source PyQt6 app needs a commercial license.
- Electron still fits mostly web teams that value code reuse over memory or startup cost.
Rebuild one internal tool in PySide6 and compare its memory use and startup time against the Electron version.
My Electron vs Qt comparison started with an internal Electron tool I built for our data science team. It used about 2GB of RAM while idle, a figure I measured on that one app. A colleague, Sarah, suggested Qt, and I rebuilt the tool in Python with PyQt6.
The rebuild used about 200MB. It had the same features and ran in the same setup, on the same machines the data science team used for their daily analysis work.
For performance-sensitive cross-platform desktop tools, Qt for Python is worth the learning time, though Electron still wins in some cases. This post covers where Qt fits, how long it takes to learn from Python or Java, how PySide6 and PyQt6 licensing differ, and how to set up a first project. Every performance figure here comes from my own projects and was never run as a controlled benchmark.
Why Choose Qt Over Electron for Desktop Apps?
Qt builds native cross-platform apps from one codebase, and in my projects it used far less memory and started faster than Electron.
One codebase I wrote ran on my MacBook, a colleague's Windows machine and our Linux server, with native performance on each. On Windows, our data visualization app looked and behaved like a regular Windows app. Qt follows each platform's design language, which means file dialogs, menus and controls match what users on macOS, Windows and Linux already expect from the other software they use every day.
Startup was the other visible change. The Qt rebuild opened noticeably faster than the Electron version on the same machines.
Why Python and Java Developers Choose Qt
Qt for Python Developers
Tkinter took too much work to make look modern. Hours went into making it look decent before I gave up, because I was fighting the framework instead of building features.
With Qt (specifically PySide6, covered in the licensing section later), the code is still Python. Dictionaries, list comprehensions and everything else you already know work the same way. The difference is that the interfaces look modern.
Last month, our DevOps team needed a log analyzer that processed files with millions of lines in real time. In Tkinter, the interface froze the moment anything substantial loaded. The Qt version scrolls smoothly through gigabyte-sized log files, because the background search runs on Qt worker threads and the UI thread stays free to respond to every click and scroll.
Pandas, requests and matplotlib all work alongside Qt in the same app.
Qt for Java Desktop Developers
Swing was painful to work with. JavaFX is still developed in OpenJDK's OpenJFX project, the open source home of JavaFX development, but for the fast-starting, memory-light desktop tools my teams build, Qt has been the better fit.
Qt's architecture will feel familiar to Java developers, with interfaces, clean separation of concerns and event-driven patterns. The bigger change is that Qt apps start quickly and use far less memory.
A former colleague and I ported one Java desktop app to Qt (using C++ in this case). On the same hardware, the Java version took 45 seconds to start and used 800MB of RAM, while the Qt version started in 3 seconds and used 150MB with the same functionality. Those numbers come from a single app on a single machine.
Where Qt Outperforms Electron in Real Projects
Qt for Creative and Media Software
Scrubbing through 4K video in a browser tab shows quickly why many media tools stay on the desktop.
A friend building a podcast editing tool started with a web app because he expected everything to move to the cloud. Six months later, he was rewriting it in Qt. Musicians kept complaining about audio latency. Audio latency depends mostly on the audio API and buffer sizes, and a native Qt app gave his team direct control over both of them instead of leaving those choices to the browser.
Qt for Scientific and Engineering Tools
Our research team needed to visualize a large climate dataset at once. In their experience, the web-based tool they tried first crashed Chrome outright.
The Qt version handled the same dataset with smooth zooming, panning and interactive selection. In Qt 6, Qt Quick renders through its Rendering Hardware Interface (RHI), which translates to Vulkan, Metal, Direct3D or OpenGL.
Engineering simulation software is another fit. Engineers who spend 8 hours a day manipulating complex 3D models depend on responsive interactions, and in the projects I've seen, Qt delivered that responsiveness consistently.
Qt for Business and Trading Applications
Internal business tools get used all day, and slow ones cost a team hours. Qt lets you build business applications that people are happy to keep open.
One consulting project was for a trading firm where traders ran 6-monitor setups showing real-time market data, with thousands of price updates per second across dozens of charts. Their Qt-based trading platform stayed responsive under that load.
Qt for Cross-Platform Developer Tools
Many developer tools work properly on only one OS or carry odd quirks on Windows. A database inspection tool I built runs on Mac, Windows and Linux machines across our team with the same codebase, the same features and the same keyboard shortcuts. Nobody needs a readme apologizing to Windows users.
Qt handles most OS-specific behavior. File dialogs look native on each platform, system notifications work as expected and keyboard shortcuts follow platform conventions. You write the logic once.
Learning Qt When You Already Know Python
Which Qt Concepts Python Developers Already Know
If you understand Python classes, you already know most of what Qt asks for at the start. Qt uses the same object-oriented concepts, with widgets as classes you create, subclass and extend.
Qt's documentation also includes Python examples now. When I started with PyQt years ago, every example was in C++ and had to be translated by hand before it would run, which slowed down learning considerably. Most examples now run in Python with small changes.
Signals, Slots and Model-View in Qt
Signals and slots. A signal is an event a widget announces, and a slot is the method that responds to it. When a button is clicked, it emits a clicked signal, which I connect to my handle_click method. Event code stays in one clear place.
Model-view architecture. Data lives in model classes, and views display it. When the data changes, every connected view updates. One file manager I built used the same model to drive a tree view, a list view and a details panel at once.
Layout management. Pixel positions are no longer your job. You tell Qt to place a button next to a label and let a text area fill the remaining space, and Qt works out the geometry. When the user resizes the window, every widget adjusts to the new size.
How Long Does It Take to Learn Qt with Python?
Among the Python developers I've worked with, most were productive in about a month and comfortable with advanced features after about three. That is my estimate, and your pace will depend on how much GUI work you have done before.
Week 1. Most of the time goes into figuring out why button clicks do nothing. Usually the signal was never connected to the slot.
Weeks 2 to 3. Interfaces start responding to input, and a first working app is often a calculator or a to-do list.
Weeks 4 to 6. Interfaces connect to real data. File browsers, database viewers and API clients start solving actual problems for your team.
Months 3 to 4. Custom widgets, complex layouts and Qt's graphics features come in, and old Tkinter projects start to look worth rewriting.
Making the Jump from Java to Qt
What You Already Know That Helps
Swing concepts carry over directly. Widgets, layouts and event handling all exist in Qt, and they behave the way a Java developer would expect.
Qt's signal-slot system works much like the observer pattern. Model-view is built in, and the enterprise design patterns you already use apply in Qt too.
Threading also feels familiar, with fewer traps. Updating Swing components from a background thread meant wrapping calls in SwingUtilities.invokeLater(). In Qt, queued connections deliver a signal from a worker thread to the UI thread automatically.
How Qt Compares with Java Desktop Apps on Speed and Memory
A C++ Qt app has no JVM to start and no class loading to wait for before the first window appears. The port described earlier is the clearest evidence I have. That app went from 45 seconds and 800MB in Java to 3 seconds and 150MB in Qt, on the same hardware.
System integration. Qt apps also handle system-level features that are awkward in Java, such as system tray icons, file associations and native dialogs. These are the details that make a desktop app feel like it belongs on the desktop.
A Four-Month Qt Learning Plan for Java Developers
Month 1. Start with C++ Qt to understand the core concepts, without worrying about C++ mastery. Focus on how signals and slots work, how layouts behave and how basic widgets fit together.
Month 2. Qt Designer, the visual interface builder, becomes useful here. Dragging and dropping widgets builds complex interfaces in minutes.
Month 3. Database connections, network requests and file I/O, the backend work you know from Java server development, connect to Qt interfaces without much friction.
Month 4. This month covers platform-specific features, deployment pipelines and, if you want, custom C++ extensions.
In the teams I've worked with, Java developers usually build useful Qt apps in 6 to 8 weeks, a little faster than the Python estimate above because the desktop patterns are already familiar.
How to Set Up a Qt Development Environment
Can You Stick with Your Current Editor?
Yes, VS Code works for most Qt for Python work. Most of my Qt development happens there, where the Python integration and debugging work well and there is no new IDE to learn while you are also learning a new framework.
Qt Creator, the official IDE, adds a visual designer for complex layouts and integrated debugging that has saved me hours when tracking down signal-slot connection issues. It is optional.
Start with your current editor and try Qt Creator on your second or third Qt project, when its features make more sense.
Three Qt Development Setups Compared
Your current editor only. Install PySide6 and keep using VS Code or whatever you know. You write more layout code by hand, which is fine if you're already productive there.
Qt Creator only. Every tool is available from day one, with a second learning curve on top of Qt itself.
Both together. Layouts are designed in Qt Creator's visual designer and the logic is written in your preferred editor. This is my setup, with design in Qt Creator and code in VS Code.
Which VS Code Extensions Do You Need for Qt?
The Python extension provides basic Python support and is the one you cannot skip.
The C++ extension is only needed if you might move to C++ Qt development later or want to see how Qt works under the hood.
CMake Tools matters for complex builds or cross-platform distribution. While learning Qt, you can ignore it.
How to Install Qt and PySide6
Installing PySide6 with pip
Python developers can install PySide6 with pip and need no Qt account. Qt's Getting Started guide uses pip install pyside6, and Qt for Python requires Python 3.10 or newer. Open your terminal and run:
pip install PySide6If you want PyQt6 instead:
pip install PyQt6Test it with this tiny program:
import sys
from PySide6.QtWidgets import QApplication, QLabel
app = QApplication(sys.argv)
label = QLabel("Hello Qt!")
label.show()
app.exec()
If a window pops up saying "Hello Qt!", you're golden.
PySide6 vs PyQt6 Licensing
The two bindings look almost identical in code, but their licenses differ in a way that matters for closed-source apps. According to the Qt for Python documentation, PySide6 follows the same licensing as Qt, with a Community Edition under LGPLv3/GPLv3 and a separate Commercial Edition. Riverbank Computing's PyQt page says PyQt is dual-licensed under the GNU GPL v3 and the Riverbank Commercial License and, unlike Qt, is not available under the LGPL. A closed-source PyQt6 app therefore needs a commercial license.
I use PySide6. It does everything I need. Before shipping a commercial app with either binding, have legal counsel review the license obligations.
When You Need the Qt Online Installer
The Qt Online Installer is only needed for Qt Creator or C++ Qt development. Get it from qt.io/download. It requires a Qt Account, and it shows you what it will install before it starts.
As of October 2026, the latest Qt release listed in Qt's documentation is Qt 6.12.0, with standard support until September 2031. Include Qt Creator even if you're not sure you'll use it.
The installer will ask about components for different platforms. Unless you know you need Android or iOS support, stick with desktop development.
Making Everything Work Together
If you're using Qt Creator, it'll find your Python installation automatically most of the time. If it doesn't, point it to your Python interpreter in the settings.
For VS Code, make sure your Python extension can see the PySide6 modules. If autocomplete isn't working, check that your Python interpreter is set correctly.
Create a consistent project structure from day one. I use something like:
my-qt-project/
├── src/ # Python source files
├── ui/ # Qt Designer files (.ui)
├── resources/ # Images, icons, etc.
└── dist/ # Built applications
Qt Learning Resources and Communities
Qt and PySide6 Documentation
Qt Documentation (doc.qt.io) goes beyond API references, with practical examples and explanations of why things work the way they do.
PySide6 Documentation has improved a lot in recent years. Its tutorials section is particularly good for core concepts.
Qt Creator Manual. Read it even if Qt Creator isn't your main editor, because it explains Qt concepts clearly and shows what is happening under the hood.
Books on Qt Programming
"Rapid GUI Programming with Python and Qt" by Mark Summerfield. The book is old and covers Qt4 and PyQt4, but the concepts still apply. It is still the best introduction to Qt thinking I've found.
"Advanced Qt Programming: Creating Great Software with C++ and Qt 4" by Mark Summerfield. This one targets C++ and Qt 4 and is dated. It is still useful for model/view concepts and helped me on several complex projects.
Qt Communities
Qt Forum (forum.qt.io) is where the Qt core developers hang out, and a question there might be answered by someone who wrote the feature you're asking about.
Stack Overflow. The Qt tags are active. Search before asking, since most common questions already have answers with working code examples.
Reddit r/QtFramework is more casual than the forum and good for show-and-tell posts, shared projects and general tips.
Practice Projects for Learning Qt
Calculator. Everyone builds one first. It teaches signals and slots without complex logic getting in the way.
File browser. This project covers Qt's file system integration and model-view programming, and the result is something you will actually use.
Data plotter. Plotting CSV files or live sensor data teaches Qt's graphics features and shows how the framework handles larger datasets.
Simple media player. Play, pause and stop controls, volume sliders and playlist management make a good introduction to Qt's multimedia features.
Advanced Qt Performance, Custom Widgets and Deployment
Keeping Qt Apps Responsive
Threading. QThread and QtConcurrent run heavy work in the background while the UI stays responsive. Apps I've built process gigabytes of data this way without the interface freezing.
Memory management. Qt's parent-child object system ties each widget to a parent, and when the parent is destroyed, Qt deletes its children. This removes most manual cleanup.
Graphics performance. For custom drawing or complex visualizations, Qt's graphics system offers several performance levels. Start simple and optimize when needed.
Building Custom Qt Widgets
Custom components. Once the basics are familiar, widgets such as a specialized input control or a custom chart type are straightforward to build, and they work with the rest of the framework like the built-in ones.
Event handling. Custom widgets can handle mouse events, keyboard input and drag-and-drop through a clean, predictable event system.
Qt Designer integration. A properly built custom widget shows up in Qt Designer next to the built-in widgets.
How to Package and Deploy a Qt App
Platform differences. Windows expects installers, macOS uses app bundles with code signing, and Linux has several packaging conventions of its own. Expect a learning curve.
Build automation. PyInstaller is a common option for Python Qt apps. Qt also provides pyside6-deploy, a tool for deploying PySide6 applications to different platforms that wraps the Nuitka compiler, and C++ projects can use Qt's own deployment tools.
Distribution channels. App stores, direct downloads and corporate deployment each have their own signing and review requirements.
When Should You Still Choose Electron Over Qt?
Choose Electron when your team is mostly web developers and reusing existing web code matters more than memory or startup cost. Web skills and UI code carry straight over.
Qt has real costs. Every developer on the team needs the learning time estimated earlier, and both Python bindings carry the obligations covered in the PySide6 vs PyQt6 Licensing section.
For tools that need to work offline and shouldn't drain a laptop battery by running a hidden Chrome instance, Qt is my pick. If you are still deciding what kind of app to build at all, this guide on choosing an app type and build path covers that earlier decision.
Should You Switch from Electron to Qt?
In the Electron vs Qt choice, Qt through PySide6 wins when memory, startup time, graphics or large datasets matter for your app. Electron remains the better choice when reusing web code and your team's existing skills matter most. Closed-source software needs a check of its LGPL or GPL obligations, or a commercial license, before it ships.
The best next step is small. Rebuild one internal tool, such as a log viewer or a data plotter, in PySide6 and measure its memory use and startup time against the Electron version on the same machine. Those two numbers will tell you more about your own workload than any article.
If your team is planning a desktop build or an Electron migration, Arbisoft's engineering team is happy to talk it through.
Electron vs Qt FAQs
Is Qt free for commercial apps?
It depends on the license you choose. PySide6's Community Edition is licensed under LGPLv3/GPLv3, and your app must meet those license terms. Qt for Python also offers a Commercial Edition for teams that would rather buy a license. Ask legal counsel to review your distribution model before release.
Should I use PySide6 or PyQt6 for a closed-source app?
PySide6 is the simpler option. PyQt is available only under the GNU GPL v3 or the Riverbank Commercial License, with no LGPL option, which means a closed-source PyQt6 app needs a paid commercial license.
Do I need the Qt installer or a Qt account to use PySide6?
No. Running pip install pyside6 on Python 3.10 or newer is enough to start building. The Qt Online Installer, which requires a Qt Account, only matters if you want Qt Creator or plan to write C++ Qt code.
How do I turn a PySide6 app into an executable?
Qt's pyside6-deploy tool, which wraps the Nuitka compiler, packages PySide6 apps for different platforms, and PyInstaller is a widely used alternative. Sign the finished package for each platform you plan to distribute on.
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