How to Build APIs in Python: 8 Popular Frameworks


Python is growing exponentially in popularity due to its straightforward learning curve and straightforward syntax. The coding language is used in web development, software development, math, system scripting, and just about everything in the sun.

The cross-platform compatibility of this multifaceted language and the ability to reduce code are two main reasons that make it a preferred language for developers. However, there are many Python frameworks that help you build robust application programming interfaces (APIs), which can do wonders for you.

What is an application programming interface (API)?

An API is a driving force behind all other platforms on the Internet. These help people stay interconnected by helping different apps communicate with each other behind the scenes.

Imagine yourself in a restaurant with a menu in your hands. The kitchen staff can cook any dish on the menu, but how will they serve your favorite dish? In this case, the waiter takes your order and passes it on to the kitchen. The server then delivers the cooked food to the user. This is precisely what an API does; it helps the user and the system to communicate.

Let’s look at some of the best Python frameworks for building APIs:

1. Django REPOS

Django Rest site interface

Django REST comes with a long list of features that make it a popular choice among developers. Representative State Transfer (REST) ​​is a web-based architecture system used for data communication. Django REST can be installed easily with a single command using PIP.

It offers handy features like serialization for ORM and non-ORM sources. In addition, this framework is trusted by popular organizations such as Red Hat, Mozilla, and Heroku; the active community continues to help developers make informed decisions.

REST features include a set of crawlable web APIs and several built-in authentication policies that simplify the API development process. Make sure you install Python 3.5 or higher on your system before installing Django REST.

Related: Learn Python & Django Today With These 8 Amazing Lessons

2. Bottle resting

Bottle website interface

As the name suggests, Flask Restful is tailor-made to make the API development process quick and easy. This lightweight Python framework only requires a few commands to make it work and create APIs. Flask’s simple and easy-to-use API development experience makes it a well-recognized API tool. Rest assured, Flask is quite handy for formatting data fields like field modules and marshal_with () decorators.

Flask, as an API tool, offers several representations of data such as XML, CSV, and HTML using the representation decorator (). There are some common features in this API tool that make it a full stack Python framework.

Related: Django or Flask: What’s the Best Python Web Framework?

3. Falcon

Falcon Web Framework website interface

Falcon is a developer favorite, especially if you want to build fast and powerful APIs. Experience a seamless transition with its object-oriented, class-based interface. It is WSGI compliant, which makes it compatible with multiple servers and platforms.

Falcon uses the HTTP and REST architecture which helps to create user-friendly designs. Fortunately, what sets it apart is the installation process, which is quite simple, straightforward, and requires little to no effort. The REST framework greatly simplifies the development process by providing a debugger for development, which works well with its built-in server.

To run Flask, you must have PyPy and Python versions greater than 2.7 or 3.5 installed on your machine.

4. Login

Login API website interface

Connexion automatically manages HTTPS and uses OpenAPI specifications. You get a generated specification based on your API’s Python code; however, the OpenAPI specification takes a different path. You need to write an OpenAPI specification in YAML format and then map the functional Python endpoints. This approach automatically validates requests and their endpoints.

Connection is able to handle token-based authentication using OAuth 2 grant type. It comes with a Swagger Console web user interface, which also allows you to call API endpoints. . API versioning and automatic payload serialization are some other handy features included in the Connexion framework.

5. FastAPI

FastAPI website interface

As the name suggests, FastAPI is one of the fastest Python frameworks for building APIs. According to user reviews, it can increase development speeds by 200-300%. FastAPI is widely used in building asynchronous web applications and enjoys community support of over 200 contributors.

This full-fledged web framework comes with a ton of features that make the development process quick and easy. Some features include interactive API documentation and elimination of duplicate code. This Python-based framework reduces bugs and errors by around 40%.

You can also use common editors like VSCode and PyCharm with autocomplete in FastAPI. Unlimited plug-in support and built-in security protocols are great features as part of FastAPI.

Related: What Does API Mean? Examples of API usage

6. Hug

Hug API website interface

Hug operates on the “write once, use anywhere” philosophy that allows you to create an API and use it anywhere in your code. This microframework allows you to build efficient APIs, local packages, and CLIs. Hug offers high speed performance because it uses Cython for compilation. This way, it only uses resources when needed.

The API documentation in Hug is some of the best in the industry. You can test your entire API Python stack using the built-in tool hug.test module. Hug currently supports Python 3 and you can install it with a single PIP command.

7. Eve

Eve API website interface

Eve takes inspiration from Flask and Cerberus and offers the best of both versions. This tool is designed to make API development simple, fast, and highly customizable. It continues to be best suited for effectively building mid-size web services. This framework offers customizable endpoints, paging, sorting, and filtering functionality.

Eve comes with advanced features like authentication, caching, and rate limiting. You also benefit from ready-to-use support for data validation; this tool adds great versatility and extensive support for a full range of CRUD operations and cross-origin resource sharing (CORS) functionality.

You can easily integrate Eve with SQL, MongoDB, Elasticsearch, and Neo4js databases.

8. Cornice

Corniche API website interface

This REST-based framework for Pyramid offers help for creating and documenting REST-based web services. Cornice automatically uses the HTTP specification if it is available. Pyramid can be adapted to the needs of the application.

Cornice adds Cross-Origin Resource Sharing (CORS) support to all your services. It returns a 400 error if the data is found to be invalid after content validation. This REST-based framework uses Pyramid’s ACLs for authorization. You can use the Python command line tool “Tox” for automated testing.

APIs continue to be the backbone of the internet

APIs are the backbone of the modern Internet that we use every day. The Python frameworks mentioned in this article make the API development process extremely quick and easy. Frameworks like Hug and Eve are best suited for small projects, while Django, Flask, and Falcon are best suited for larger scale applications.

Choose one of these Python frameworks and start building APIs efficiently.

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