Python is a popular programming language that benefits from simple syntax, comprehensive libraries, and working tools for automating development and testing.
Python frameworks are used for developing web applications, big data and data analysis, machine earning, and many other popular areas. A product written in Python makes a website or platform more productive, scalable, and functional, regardless of its initial set of tasks and capabilities. An іspecific feature of Python is the lack of support for built-in functions you can speed up the application with. Therefore, deploying frameworks will allow you to cope with this task. Below we have provided a list of Python frameworks with high reliability and performance.
This category of frameworks contains a set of necessary tools for creating a full-fledged product, most often a large project. These include the MVC architecture, ORM (Object-Relational Mapping), template engines, and routers.
Django is a high-level framework that makes development faster and more productive. The framework is based on minimizing the amount of code, which reduces the time and cost of web development. Framework features:
What are the benefits of using Django? The basic functionality has been developed by professional developers and comes bundled, the functions are guaranteed to work without errors. The framework is constantly being improved and has documentation that makes it easy to understand and use the functions. A project written using Django is scalable, and the data is managed through the admin panel.
Django is not a very suitable solution for creating small projects and projects where high performance is needed. Django was used to write Instagram and Spotify.
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The main Python frameworks for web development include Flask, which is available under the BSD license. It combines the Werkzeug WSGI toolkit and the Jinja2 template. The framework allows you to create a reliable, well-functioning web application.
The component was created for writing open applications, it shows the greatest efficiency in working with small, simple projects, although it is used by large companies such as LinkedIn and Pinterest. Key Features:
Several extensions make it easy to integrate new features of the Python front-end framework.
Asynchronous coding has been around for years in web development, but there are few frameworks to support it. According to the methodology of asynchronous coding, in the course of work, it is possible to perform tasks not sequentially, but in parallel, before the first one is completed. The basis for the operation of asynchronous frameworks is the asyncio libraries.
AIOHTTP is an asynchronous HTTP client server. In fact, it acts as the Python language library, with the help of which clients' requests are executed and a web server with streaming issuance and web sockets is created. The technology facilitates the rapid data exchange between the user and the server, determining the product's performance. The framework features the following:
A Python developer uses Sanic to create lock-free code that starts quickly. Among the positive aspects of the web framework are as follows:
This Python backend framework speeds up tasks in an application that professional developers trust.
The original Python Tornado library uses a non-blocking I/O framework to handle over 10,000 concurrent connections. This is the best option for creating products that have high requirements in terms of quality and processing for a large number of users.
Tornado’s key features are as follows:
Framework
Type
Async Support
ORM/ODM
Template Engine
Routing
Scalability
Popularity
Django
Full-Stack
Async support available in version 3.1+
Yes (Django ORM)
Django Template Language
Yes
Vertical
Very Popular
Flask
Micro
No, but can be used with other async libraries
No (can be used with external libraries)
Jinja2
Horizontal
Popular
aiohttp
Async Web
Growing
Sanic
Tornado
Tornado Template Language
Moderate
Framework Types:
Async Support:
ORM/ODM:
Template Engine:
Routing:
Scalability:
Popularity:
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