Is it possible to design a website with Python programming language?

This is a question that is often asked by students and apprentices who are just entering the world of Python programming.

Python programming language is a functional language. Although the most important reason for Python’s popularity in the world is its use in the field of artificial intelligence and machine learning, it must be said that the use of Python is not limited to these cases.

You can design a website with Python. Website design with Python is so common that the websites of major companies such as Google, Netflix, YouTube, Instagram, and Dropbox are designed with Python frameworks.

In this article, we want to go one step further and answer the question, can Python be used in front-end design? What are the best front-end Python frameworks?

Front-end design with Python

Python is a powerful and versatile programming language. This language is very understandable and easy for programmers with its readable and simple code structure. For this reason, the Python language has numerous frameworks, each of which is introduced for a specific purpose. For example, Django and Flask frameworks are two famous frameworks in the field of back-end website development that provide many possibilities for the development of dynamic websites.

However, the application of the Python programming language has been mostly related to the server or back-end section. Few people have talked about the use of Python in the front end.

Python also has special frameworks for front-end design. In these frameworks, Python codes, HTML pages, CSS codes, and interactive parts of the site are described with JavaScript. In other words, instead of writing HTML or JavaScript code directly, the programmer uses the power and features of the Python language to describe the front-end parts. The task of front-end Python frameworks is to convert Python codes into equivalent HTML, CSS, and JavaScript codes and send them to the browser to be displayed on the website.

6 popular Front and Python frameworks

1. Anvil

Anvil is a powerful Python framework that allows developers to design interactive websites and web applications.

One of the features of the Anvil framework is that it offers a variety of features, including drag-and-drop utilities and pre-built components for designing web user interfaces. Drag-and-drop tools can be used to add graphic elements to web pages or customize them.

With Anvil, a developer can easily describe different parts of a website, such as HTML pages, CSS formatting, and interactive JavaScript behaviors using Python code. Anvil automatically converts these Python codes into equivalent web codes and sends them to the browser to be displayed on the website.

2. Pinecone

Pinecone is a full-stack library for designing and developing websites and web applications that were introduced last year (December 2022). Using this framework, it is possible to design and program the website’s back-end and front-end without the need for other tools.

Pinecone is an open-source tool designed for people with no prior web development experience. This tool makes it possible for data scientists and software engineers who work with Python to create web applications so that they no longer need to learn the intricacies of web development.

In other words, by providing simple and understandable tools and features, this tool allows the programmer to design and manage websites or web applications without in-depth knowledge of web development.

3. JustPy

JustPy is another Python framework used to develop and design the front end of websites. By combining Python programming language and web technologies, this framework has made it possible for developers to easily design interactive websites.

The highlight of JustPy is that it uses Python libraries such as Pyodide (for running Python in the browser) and JavaScript. Using this framework, developers can create dynamic and interactive websites with Python without the need for deep knowledge of JavaScript.

JustPy provides developers with features such as simple code structure and high readability, responsive website creation, support for interactive components such as graphs and data tables, and rapid development.

4. Dash

Dash is a Python framework used to build dashboards and web user interfaces. This framework has many features that are very useful for building interactive user interfaces and dashboards.

One of the outstanding features of Dash is that with the help of Python language, it is possible to easily define different parts of the user interface, dashboards, various components, and controls, including charts, tables, forms, and other tools.

In addition, Dash provides features to improve user interaction with the user interface. Using this tool, users’ events and reactions are received, and the site designer can use this data to improve the user interface.

5. Bokeh

Bokeh is an interactive visualization tool written in the Python programming language that allows users to easily create dynamic and interactive charts and data visualizations. With Bokeh, you can create different types of charts like line charts, bar charts, pie charts, and other types of charts and display them with different settings.

Bokeh allows the developer to use its tools and capabilities to dynamically update data in charts and visualize data changes in real time.


Streamlit is a very simple and efficient framework that helps developers build interactive data-driven web applications. This framework specifically focuses on three main concepts: speed, ease of use, and power.

Using Streamlit is very simple; You can create web applications with data-driven capabilities using a few simple lines of Python code. In other words, this framework uses special techniques to generate user interfaces and add data-driven tools automatically.

Streamlit is powerful because it integrates with popular libraries such as Pandas, Matplotlib, and Plotly, allowing developers to interactively display data and add charts, interactive tables, and other tools to their web applications.

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