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Essential FastAPI Resources Every Developer Should Know

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Chapter 1: Introduction to FastAPI Resources

FastAPI has emerged as one of the most favored frameworks for Python developers, thanks to its modern features and ease of use. In our journey as developers, we often need to incorporate third-party libraries to enhance our APIs with added functionalities, making our applications more robust and efficient.

In this article, I will highlight several invaluable resources for FastAPI developers, many of which I have personally utilized in my projects, along with a few that I plan to explore in the near future. Let’s get started!

FastAPI Programming Resources

Section 1.1: FastAPI Pagination Library

The FastAPI-pagination library simplifies the process of creating paginated responses for your API routes. Instead of constructing complex pagination logic from scratch, you can achieve this functionality with just a few lines of code in your main.py file.

I recently incorporated this library into my full-stack tutorial series, which you can find here: A Full-Stack Project With React and FastAPI — Part 2.

Section 1.2: FastAPI MVC Framework

FastAPI-MVC is a powerful tool that boosts developer productivity by enabling the creation of production-ready FastAPI APIs with a single command. It sets up all necessary boilerplate code for a MVC Python project, allowing you to focus on your specific application logic using the defined generators.

Included features are:

  • Python Poetry for dependency management
  • Makefile, GitHub actions, and Docker configurations
  • Pre-built Sphinx documentation

Section 1.3: FastAPI Mail

As the name suggests, FastAPI-Mail is a lightweight library designed to facilitate sending emails from your FastAPI application. It supports both text and file-based emails and includes background task management, preventing you from having to develop this functionality from scratch.

Section 1.4: Tortoise ORM

For developers accustomed to Django’s built-in ORM, Tortoise-ORM provides a familiar interface for working with relational databases in FastAPI. This library is inspired by Django, allowing for a more intuitive experience.

Section 1.5: FastAPI Cache

In production environments, implementing a caching mechanism is crucial. The FastAPI-Cache library allows seamless integration of caching systems like Redis and Memcache, making it easy to cache responses and function results. Additionally, it supports AWS DynamoDB for cache storage!

Section 1.6: FastAPI Limiter

To safeguard your production API from excessive requests, the FastAPI-Limiter library introduces a simple way to implement rate limiting using Python decorators. It also supports WebSocket connections, adding an extra layer of protection for data exchanges.

Section 1.7: FastAPI Admin

One of the standout features of Django is its admin interface, which is notably absent in FastAPI. The FastAPI-Admin library addresses this gap by providing a Bootstrap HTML template for your project’s admin interface.

Section 1.8: FastAPI Best Practices

Maintaining best practices in production systems can be challenging, as it involves numerous checks that can easily be overlooked. This repository compiles a comprehensive set of best practices to adopt in your FastAPI projects.

Section 1.9: FastAPI with Message Queues and Monitoring

If you're looking to integrate RabbitMQ with your FastAPI project, this boilerplate GitHub repository is a perfect starting point. It even includes a Celery setup for task monitoring, complete with an integrated Redis backend.

A Few Final Thoughts...

I appreciate you taking the time to review this list of essential FastAPI resources. I trust you will find them beneficial for your upcoming projects.

Join over 100 others in receiving my weekly updates on backend development, DevOps, and Data Science.

Meanwhile, feel free to check out my other articles:

  • 7 Common File Operations in Python with OS and Pathlib Modules

    A collection of frequently used functions from both modules with practical examples.

  • 6 Steps I Use To Start A New Django Project

    Learn about every package I install and configure!

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