Python programming language has been in the market for a long time and we have seen its multiple use cases in server-side programming but in terms of the front end, python has less popularity. There’s no culture of writing the code of the front end using a free Python web framework for the front end. 

Nowadays, there’s a rising Python family that allows you to write backend Python code that later changes into frontend (HTML, CSS, and JS). The frontend objects are represented through the Python object model.

Top Free Python Web Framework for Stunning UIs

We’ll look into three Python web frameworks that follow the conversion of backend Python code into appealing front-end code. Following are the three web Python frameworks that work in UI.

Anvil

Anvil allows you to write Python code or you can utilize the drag and drop option and comes with a stunning web application with an interactive JS-powered framework and a Python-powered backend. It offers you two approaches; the first one is cloud-based and the second is open-source anvil run time. 

The cloud solution comes in several pricing options and offers you visual build tools and various hosting options. Whereas the open-source Anvil runtime allows you to build and run Anvil applications with code but doesn’t come with a visual designer.

Anvil applications are built using three key components: the user interface (UI), which can be created using Anvil’s design tools or written manually in code; client-side code, which is converted from Python to JavaScript; and server-side Python code. Similar to tools like Qt Design Studio, Anvil’s cloud editor automatically generates both front-end and back-end code.

Reflex

Reflex allows you to create interactive web apps with Python. It compiles your Python code into a React application, giving you the power and flexibility of React with the convenience of Python. Reflex allows you to write both backend and front-end code without the need to write JavaScript. Unlike anvil, it does not include any design tool. The earlier version of Reflex relied on both Python and the long-term support version of the Node.js runtime. 

However, the current version requires only Python 3.8 or later and is compatible with both Linux and Windows. For optimal performance on Windows, using WSL is recommended. After setup, you can use the `reflex` command to create and launch a new Reflex project.

NiceGUI

Imagine you have a Python application running as a command-line tool or web service, but you need to quickly add a web-based UI. Instead of building a front end from scratch, you can leverage NiceGUI, which simplifies the process.

NiceGUI uses a declarative syntax to define UI components and their behavior. Its library includes a variety of prebuilt widgets like buttons, sliders, text fields, input boxes, and file uploaders. Additionally, it supports advanced features such as audio and video integration, interactive data visualizations (charts, tables, Matplotlib rendering), 3D graphics with three.js, and CodeMirror-based code editors. Best of all, NiceGUI takes care of all the in-browser code, so you don’t have to.

Which One Should You Choose?

Anvil’s USP is its low and no code interactive UI creation tools, reflex will be your go-to option if you want to work with React front end and render generated sites to static HTML. Moreover, NiceGUI provides high-level, declarative abstractions for rapidly building applications, including event handling. All three frameworks allow you to use Python to define HTML elements and their JavaScript-powered behaviors. 

Conclusion

Sometimes, it is shocking to see how few Python web frameworks are truly transforming the way developers code. However, the ones that do are making a significant impact by simplifying development, improving scalability, and enhancing performance. 

Overall, Python remains a versatile programming language, widely adopted for web development, data science, automation, and artificial intelligence. Its ever-growing ecosystem continues to offer innovative solutions that streamline complex tasks and empower developers to build robust applications efficiently.