Introduction to FastAPI

Last Updated : 20 Jun, 2026

FastAPI is a modern Python web framework used to build APIs and backend applications quickly and efficiently.

  • Built on top of Starlette and Pydantic, providing high performance and reliable data handling.
  • Widely used for developing REST APIs, microservices and backend systems for web and mobile applications.
  • Simple and beginner-friendly syntax helps developers create production-ready APIs with less code.

Features

  • Automatic Documentation: Generates interactive API documentation automatically using OpenAPI and Swagger UI.
  • Python Type Hints: Uses Python type hints to improve code readability and simplify API development.
  • Data Validation: Validates request and response data automatically using Pydantic models.
  • Asynchronous Support: Supports async and await for handling multiple requests efficiently.
  • Dependency Injection: Provides a built-in dependency injection system for writing modular and reusable code.
  • Built-in Security: Includes support for authentication and authorization mechanisms such as OAuth2 and JWT.

To install FastAPI, refer to this article Installation of FastAPI

Create a Simple API

The following examples demonstrate how to create basic API endpoints using FastAPI and test them in a browser

Example 1: Creating a GET API

In this example, a GET endpoint is created at the root URL (/). When the endpoint is accessed, it returns a simple JSON response.

Python
from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"message": "Hello, FastAPI!"}

Run the application using:

uvicorn main:app --reload

After the server starts, open the following URL in your browser: http://localhost:8000/

Screenshot-2026-06-20-102622
Output

Explanation:

  • FastAPI() creates the FastAPI application.
  • @app.get("/") defines a GET endpoint for the root URL.
  • read_root() returns a JSON response containing a message.

Example 2: Creating a POST API

In this example, a POST endpoint accepts a name and returns a personalized greeting message.

Python
from fastapi import FastAPI

app = FastAPI()

@app.post("/greet")
def greet_user(name: str):
    return {"message": f"Hello, {name}!"}

Run the application and open the interactive API documentation: http://localhost:8000/docs.

Test the POST Endpoint

1. Expand the POST /greet endpoint and click Try it out.

Screenshot-2026-06-20-103320
POST endpoint

2. Then, enter a value for the name parameter, such as John and click Execute.

Screenshot-2026-06-20-103531
Output

Explanation:

  • @app.post("/greet") creates a POST endpoint named /greet.
  • name: str accepts a string value from the request.
  • f"Hello, {name}!" inserts the provided name into the greeting message.
  • FastAPI automatically converts the returned dictionary into a JSON response.

Advantages

  • Easy to Learn: Beginner-friendly syntax with automatic docs makes it quick to get started.
  • High Performance: Built on async features, it handles many requests efficiently.
  • Auto Data Validation: Uses type hints to validate input/output automatically.
  • Built-in Auth: Supports JWT, OAuth2 and custom authentication easily.
  • Middleware Support: Add logging, auth and more through simple middleware integration.

Disadvantages

  • Async Complexity: Requires understanding async/await, which can be tricky for beginners.
  • Fewer Built-in Tools: Lacks features like Django’s admin panel, ORM or user auth.
  • Smaller Ecosystem: Fewer plugins, tutorials and community support compared to older frameworks.
  • Debugging Difficulty: Async debugging is harder than with traditional synchronous code.

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