s Top Python Web Frameworks Compared

Python Web framework comprehensive comparison: From Django to Fastapi, select the weapon that suits you best!

This article will conduct in -depth analysis of the ten popular Python Web frameworks, covering its characteristics, advantages and disadvantages, and applicable scenarios to help you choose the most suitable framework to build your next project.

Framework brief description:

Full function:

django
• Lightweight and elegant type: Flask, Sanic, Bottle
• asynchronous high concurrency support: Fastapi, Tornado, Sanic, AIOHTTP
front and back -end separation (API development):
• Fastapi, Django Rest Framework, Falcon, hug
Next, we will explore the details of some frameworks:
• django
Django is a powerful full -stack Python Web framework, known for its ease of use and flexibility, and is suitable for web applications of various scale.

Features:

Adopting the MVC design mode, providing built -in functions such as ORM, template engine, cache. The documents are perfect and the community is active.

Advantages:

High development efficiency, easy code maintenance, and high security.

• Disadvantages: The learning curve is steep and the flexibility is relatively low.
Applicable scenarios:
• Large websites, e -commerce platforms, enterprise -level applications, back -end APIs. Well -known application:
Instagram, Pinterest, etc.
• Fastapi
• Fastapi is a modern, high -performance Python Web framework, designed for building APIs, based on Python 3.8 and type prompts. It is built on Starlette and Pydantic, with excellent performance and powerful functions.
Main features:
• High -performance, simple code, powerful data verification, automatic interactive API document. advantages:
excellent performance, high development efficiency, low error rate, rich documentation.

Disadvantages:

The learning curve is steep, and the ecosystem is relatively new.

Applicable scenario:

Construction of various APIs.
• Flask
• Flask is a lightweight Python Web framework, which is flexible and easy to use, suitable for small and medium web applications.
Features:
• Micro -frame architecture, strong scalability, Python standard library, complete documentation, and active community. Advantages:
High development efficiency, high flexibility, and gentle learning curve.
• Disadvantages: The function set is relatively small and the security is relatively low.

Applicable scenes:

Small websites, blogs, small e -commerce platforms, back -end APIs.

Well -known application:

Reddit, Twitch, etc.

• Django and Flask Comparison
Django and Flask are both Python Web frameworks, but their characteristics are different. Django has a comprehensive function, suitable for large complex applications; Flask is lightweight and flexible, suitable for small and simple applications.
• • Selection suggestions: Choose based on the size and complexity of the application, as well as the developer’s experience level.

  Django REST framework

  Django REST framework (DRF) is a Django-based Web API framework that provides serialization tools, authentication mechanisms, request authorization and other functions for building high-quality Web APIs.

  • Features: Supports RESTful and JSON API specifications, built-in serialization components, multiple authentication and permission control methods, built-in view classes and renderers, and supports multiple paging methods.
  • Advantages: High flexibility, powerful serialization component, good security, and friendly documentation.
  • Disadvantages: The learning curve is steep and the functions are slightly cumbersome.

  Tornado, Sanic, aiohttp, Falcon, Bottle, Hug

  These frameworks feature high performance and asynchronous I/O support, and are suitable for building high-concurrency applications. They each have their own focus on specific features and applicable scenarios, such as Tornado's WebSocket support, Sanic's Flask-style API, aiohttp's HTTP client/server functionality, Falcon's lightweight features, Bottle's minimalist design, and Hug's focus on API building. For detailed analysis of features, advantages and disadvantages, please refer to the original article.

  Leapcell: The Best Serverless Platform

  

  Finally, we recommend an excellent platform for deploying Python applications: Leapcell. It supports multiple languages, deploys unlimited projects for free, is cost-effective, has a smooth developer experience, and has strong scalability and high performance.

  

  For more information, please visit Leapcell documentation and Twitter: https://www.php.cn/link/7884effb9452a6d7a7a79499ef854afd

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