Whenever talk of web development takes place in this tech-driven digital era, Python always wins the debate as it is one of the most preferred languages for web development. Python simplifies web development and provides complete support for mobile app development, data analysis, machine learning, and other services. The market is already flooded with Python-based frameworks, and to help you out, we have compiled a list of the Best Python Frameworks for Web Development.
Python Frameworks for Web Development
1. Django
Django is an open-source, free-to-use Python framework that lets developers quickly create complex code and apps. With the Django framework, developers can quickly build quality web applications and APIs. It is because this top-notch Python web development framework is packed with robust features and a set of libraries. That eliminates the need for excessive coding and allows code reusability as well.
2. CherryPy
Completed almost ten years in the market, CherryPy is one of the oldest and most trusted Python web development frameworks. It is an open-source platform and exceptionally quick and stable in terms of performance. CherryPY has its own multi-hung server and can work with any framework that supports Python.
3. Bottle
The Bottle is one of the most preferred frameworks for Python development services globally. This micro framework was initially developed for building APIs. However, in its advanced form, it can perform several other tasks, like, templating, directing, utilities, and some fundamental abstraction over WSGI standards.
4. CubicWeb
A LogicLab’s offering, CubicWeb is an open-source and semantic Python web framework for creating web apps. It is one of the most opted frameworks for faster programming. The reason behind this is its unique working concept. It uses Cubes, where the view and model of everything take place under a roof. After that, the database, web server, and config files must be integrated to create the object class.
5. Dash
Dash is one of the most renowned microframeworks that facilitates analytical application development. It comes integrated with a comprehensive range of JavaScript plugins, including react.js, ploty.js, etc., and is written on Flask, making it a great visualization tool. Well, Dash is developed keeping data scientists in mind though it comes packed with adequate protocols and technologies that support developers creating interactive web applications.
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