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This article introduces the relevant knowledge of "what is the difference between Django,Flask and FastAPI". In the operation of actual cases, many people will encounter such a dilemma. Next, let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Django

Django is a free and open source Web development framework for building websites. It was created in 2003 and uses the MTV schema, that is, the Model-Template-View schema. If you do not use the template syntax of Django, you can also think of it as the MVC schema, that is, Model-View-Controler, corresponding to three files: models.py, views.py, and urls.py.

It is popular for its robust and simple features, and its status is equivalent to that of Spring in the field of Java, and it is used by technology giants such as Instagram,Youtube. Django is also an important part of job interviews. Django is so popular that there are already paid tutorials for geek hours. Second, its design philosophy goes well with Python, encouraging code reuse.

Advantages

The code structure of the Django framework is unified and easy to understand. Developers can add more functions like filling in the blanks, and they can also design custom classes or interfaces, which is simple without losing flexibility and expansibility.

Another powerful tool in Django ecology is Django Rest Framework (DRF). DRF allows you to easily build a REST-style API. Because of its modular and customizable architecture, it is also very easy to use Django to build Web API under the trend of front-end separation.

Built-in security middleware. Django provides secure access by providing protection against federated SQL injection and cross-site request spoofing attacks.

The ecology of Django is very rich, and there are many libraries adapted to third-party classes, which means that you are not alone when you encounter problems.

Shortcoming

Django may limit the speed of development because of many reusable modules. It also needs to ensure that the previous version is still compatible with the new version, causing it to run a little slower.

Django Models has no mixins, only simple inheritance.

The ORM used by Django was created before SQLAlchemy, so Django ORM is less flexible and therefore not as flexible as SQLAlchemy.

Use case for Django

Django can handle projects of any size and capacity. We can use it for simple sites or high-performance sites. Some use cases are as follows:

High-load booking engine.

Shopping platform.

School management system.

Built-in custom CRM system for internal data.

IOS and Android applications that support Web-based applications.

Manage dashboards, photo-based authentication, e-mail systems for sending user notifications, etc.

In short, if you want to do a large-scale, expanding, large-scale, commercial Web project, Django is your best choice.

Flask

Flask is a mini Web framework written in Python that can be used to develop minimalist Web applications. Flask comes with options such as template engine, caching, and authentication.

It was created to build Web applications using the Python programming language. It is designed to be easy to use, fast, and can be expanded into complex applications or micro services.

Flask is more like the April Fool's Day prank played by creator Armin Ronacher on April 1, relying on Werkzeug and Jinja. Surprisingly, it has been appreciated by the community, which enables them to do more in this regard.

Advantages

Unlike other Web application frameworks, flask gives you complete control over Web development, and thus over application and Web development. Developers have the opportunity to "sit in the driver's seat" and take charge of what you want to do, such as adding external features.

Flask allows unit testing, and because of its built-in development server, integration support, etc., you can make adjustments to some extensions to transition to the Web framework.

Flask is easy to use and very suitable for beginners, providing developers with a better space to learn and understand it. It also allows developers to create applications quickly and effortlessly.

Shortcoming

Many modules of Flask are developed by third parties, which can easily lead to security vulnerabilities.

Flask has a single source, which means that it will process each request in turn, so no matter how many requests there are, it still takes turns to process them, which takes more time.

If the developer is not good, it is easier to create a bad Web application with low-quality code.

Use case

We can use Flask for commercial projects. It can help you get started quickly, but the site doesn't work well under heavy load.

You can quickly implement Flask projects, such as:

E-commerce system.

Facebook / Twitter robot.

Online social networks.

Static website.

If you want to do some small personal projects, such as chat robots, or want to implement rapid prototyping of the product, or like to write code to control the flow of programs freely, then you can choose Flask. If the Django is a large car with semi-autonomous driving, then the Flask is a manual car that allows you to operate freely.

FastAPI

FastAPI is a modern, open-source, fast, high-performance Web framework for building Web API. It is based on Python 3.6 + standard type hints and supports asynchronism. As its name suggests, FastAPI is created to build fast API.

Advantages

Automatic type checking. This means less Bug, and even in deeply nested JSON requests, Fast API validates the developer's data type.

Gather the leaders and stand on the shoulders of giants. FastAPI is based on standards such as JSON Schema (a tool for validating JSON data structures), OAuth 2.0 (an industry standard protocol for authorization), and OpenAPI (a publicly available application programming interface).

Modernization. FastAPI makes it easy to build GraphQL API using a Python library called graphene-python.

Fast, high performance. Can be compared with NodeJS and Go.

Shortcoming

Because FastAPI is relatively new, the community is smaller and there are relatively few third-party tutorials compared to other frameworks.

Use case

FastAPI is suitable for building high-performance API and supports asynchronous. If you want to build asynchronous API, you can choose FastAPI first. Netflix uses it for internal crisis management. It can also scale perfectly when deploying a ready machine learning model, because the ML model works best in production when it is encapsulated in REST API and deployed in a microservice.

Compare

We compare in terms of software packages, communities, performance, flexibility, job openings and training.

The richness of software packages. Django has most of the software packages that make the code reusable. It is a complete Web development framework, while Flask and FastAPI are simple frameworks for building websites. Many functions, such as user systems, have to be implemented by themselves.

The level of community activity. The Django community is the most active community because it is widely used and used by many large factories. On the other hand, the community of Flask is also very prosperous, second only to Django. The FastAPI community is still relatively small because it is relatively new.

Performance. In terms of performance, FastAPI is the front-runner because it is speed-oriented, followed by Flask and finally Django.

Flexibility. Flexibility is something that developers value very much, and Flask is more flexible than Django. On the other hand, FastAPI is flexible in terms of code and does not limit the layout of the code. Therefore, we can say that Flask is the most flexible of the three.

The position is vacant. There is no doubt that there are more job openings required by Django in the Python network ecosystem, followed by Flask, followed by FastAPI, which is much less, so if you are going to find a job quickly, Django should be your first choice.

Study cost. FastAPI < Flask < Django. Although Django is difficult to learn, it has complete official documentation and a lot of online materials and resources. Flask is not only simple and direct, but also has a wealth of online materials and resources. FastAPI is easier and more straightforward to learn, but it has relatively few resources because it takes time.

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