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PyQt VS Streamlit

Compare PyQt VS Streamlit and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

PyQt logo PyQt

Riverbank | Software | PyQt | What is PyQt?

Streamlit logo Streamlit

Turn python scripts into beautiful ML tools
  • PyQt Landing page
    Landing page //
    2021-10-18
  • Streamlit Landing page
    Landing page //
    2023-10-07

PyQt features and specs

  • 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 of PyQt

  • 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.

Streamlit features and specs

  • Ease of Use
    Streamlit's API is extremely intuitive and easy to learn, which makes it accessible for developers of varying experience levels. The simplicity allows for rapid development and less time spent on complex front-end coding.
  • Interactive Widgets
    It provides a set of interactive widgets that make it simple to add complex functionalities like sliders, buttons, and file uploaders to your application with minimal code.
  • Real-time Feedback
    Streamlit supports real-time data updates, allowing users to see changes instantly. This is particularly useful for data analysis and machine learning applications where live data visualization is crucial.
  • Integration with Machine Learning Libraries
    Streamlit integrates seamlessly with popular machine learning libraries like TensorFlow, PyTorch, and scikit-learn, making it a great tool for showcasing machine learning models and results.
  • Open Source
    Being an open-source project, Streamlit is free to use and comes with the support and contributions of an active community. This means continuous improvements and a wealth of shared resources.

Possible disadvantages of Streamlit

  • Limited Customization
    Streamlit offers limited customization options compared to traditional web frameworks. This can be a hindrance if you need a highly customized UI/UX for your application.
  • Performance Issues
    For more complex or resource-intensive applications, Streamlit may suffer from performance drawbacks. It is not designed for high-performance computing out of the box.
  • Scalability
    Streamlit is not well-suited for large-scale applications requiring major backend architecture or for scenarios demanding high scalability and concurrency.
  • Limited Widget Style Options
    The styling and customization options for widgets are somewhat limited, meaning your application's look and feel might be more constrained compared to using other front-end frameworks.
  • Deployment Complexity
    While Streamlit provides some deployment options, deploying Streamlit apps in a production environment can sometimes require additional effort and knowledge, especially for those unfamiliar with web deployment practices.

Analysis of PyQt

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

Analysis of Streamlit

Overall verdict

  • Overall, Streamlit is well-regarded for its ease of use, speed of development, and ability to create clean and professional-looking applications without in-depth web development knowledge. It provides a seamless bridge between complex data analysis and user-friendly presentation, which can be highly beneficial for a wide range of use cases.

Why this product is good

  • Streamlit is a popular choice for quickly building and deploying data applications and interactive dashboards with minimal code. It is designed to be user-friendly, allowing data scientists and engineers to transform their scripts into shareable web apps. It supports real-time updates, is highly customizable, and integrates well with Python libraries like NumPy, Pandas, and Matplotlib, making it an attractive option for many developers working within the Python ecosystem.

Recommended for

    Streamlit is ideal for data scientists, analysts, and developers looking to rapidly prototype and deploy data-driven applications. It is recommended for those who prioritize simplicity, quick deployment, and seamless integration with Python code. Individuals or teams interested in building dashboards, ML model sharing platforms, or interactive reports will find Streamlit particularly useful.

PyQt videos

+ Add

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

More videos:

Streamlit videos

+ Add

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

More videos:

  • Review - 1/4: What is Streamlit
  • Tutorial - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

Category Popularity

0-100% (relative to PyQt and Streamlit)

PyQt

Streamlit

Rapid Application Development
100 100%
Rapid Application Development
0% 0
Developer Tools
12 12%
Developer Tools
88% 88
Development Tools
100 100%
Development Tools
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PyQt and Streamlit

PyQt Reviews

25 Python Frameworks to Master
PyQt is one of the most popular sets of Python bindings for the Qt cross-platform application framework. This framework perfectly combines the simplicity of Python as a general-purpose language and the powerful Qt application framework built in C++.
Source: kinsta.com
Which Python GUI library should you use? Comparing the Python GUI libraries available in 2023
Before the Qt Company (under Nokia) released the officially supported PySide library in 2009, Riverbank Computing had released PyQt in 1998. The main difference between these two libraries is in licensing. The free-to-use version of PyQt is licensed under GNU General Public License (GPL) v3 but PySide is licensed under GNU Lesser General Public License (LGPL). This means...
Source: www.pythonguis.com
10 Best Python Libraries for GUI
Developed by Riverbank Computing, PyQt5 is one of the most popular Python frameworks for GUI. The PyQt package is built around the Qt framework, which is a cross-platform framework used for creating various applications on different platforms.
Source: www.unite.ai
Top 10 Python GUI Frameworks for Developers
When it comes to creating GUIs, the PyQt5 arsenal offers the impressive QtGui and the QtDesigner module, which provide numerous visual elements that the developer can implement with a simple drag and drop. Of course, the option of creating these elements by code also exists, allowing you to create both small-scale as well as large-scale applications with ease. Pythonโ€™s...
Source: towardsdatascience.com

Streamlit Reviews

We have no reviews of Streamlit yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Streamlit seems to be a lot more popular than PyQt. While we know about 219 links to Streamlit, we've tracked only 4 mentions of PyQt. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PyQt mentions (4)

  • 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 Pythonโ€”like Kivy and PyQTโ€”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: almost 5 years ago
  • Best way to install qutebrowser?
    As for PyQt, that's developed entirely independently from Qt (by Riverbank Computing). The major/minor versions usually line up with the respective Qt releases (since the Qt release introduces new APIs, so a new PyQt release is needed to expose those to Python). However, it's versioned independently, and a new patch release of PyQt might be needed before/without Qt releasing a new patch release. For more details,... Source: over 5 years ago

Streamlit mentions (219)

  • Adding Authentication and SSO to a Streamlit App
    Streamlit makes it simple to turn Python scripts into shareable data apps. As these apps move from personal notebooks to team and company use, adding secure authentication and single sign-on (SSO) becomes essential. Authentication protects sensitive data and gates features by user identity. SSO lets people sign in once and move across apps without repeating logins. - Source: dev.to / 4 months ago
  • How I trained a computer vision model on the AWS Free Tier
    The app I built to explore that question is a Streamlit app with two modes. Standard mode sends your image to the DetectLabels API and checks if it returns "Egg" or "Easter Egg" in the labels. Custom Labels mode uses a custom model I trained on my own images. Both draw bounding boxes around any eggs they find. - Source: dev.to / 5 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Once you've completed your analysis, consider building a dashboard to visualize your findings. Tools like Streamlit make it easy to create interactive web apps:. - Source: dev.to / 5 months ago
  • [TIL][Python] Python Tool for Online PDF Viewing, Comparison, and Data Import
    Title: [TIL][Python] Online PDF Page-by-Page Viewing and Comparison Tool for Importing Data (Python online PDF Viewer and comparison) and Python Snippets Published: false Date: 2023-08-04 00:00:00 UTC Tags: Canonical_url: http://www.evanlin.com/til-python-tips/ --- ## Small Project: Online PDF Viewer and Parse Data compare: -... - Source: dev.to / about 3 years ago
  • Experimenting with Javelit - The Streamlit for Java
    Javelit brings the power of rapid prototyping and interactive web app development to the Java ecosystem, much like Streamlit does for Python. With its simple, loop-based programming model, developers can quickly build data-driven applications without needing extensive frontend knowledge, leveraging familiar Java syntax and the rich JVM ecosystem. The live-reload feature enables instant experimentation and... - Source: dev.to / 8 months ago
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What are some alternatives?

When comparing PyQt and Streamlit, you can also consider the following products

Tkinter - Tkinter is a Python wrapper for Tcl/Tk that offers classes to create various graphical user interfaces.

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

PySimpleGUI - A simple to use GUI that can create custom GUIs

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

GTK - GTK+ is a multi-platform toolkit for creating graphical user interfaces.

Gradio - Build & share machine learning apps delightfully.

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