FastAPI has rapidly become one of the most popular frameworks for building APIs in Python—especially when performance and simplicity matter. It is modern, fast, and developer-friendly, making it a great choice for beginners and professionals alike.
In this blog, we’ll explore what FastAPI is, why developers prefer it, and how you can start building your first REST API.
What is FastAPI?
FastAPI is a high-performance Python web framework for building APIs quickly and efficiently. It is based on Python type hints and built on top of Starlette (for web handling) and Pydantic (for data validation).
Why FastAPI is popular
| Feature | Benefit |
|---|---|
| Extremely fast | Comparable to Node.js & Go |
| Auto documentation | Built-in Swagger UI & ReDoc |
| Type safety with Pydantic | Fewer bugs, easier maintenance |
| Async support | Ideal for high-concurrency apps |
| Easy to learn | Minimal code to build APIs |
Installing FastAPI
To install FastAPI and its production server Uvicorn, run:
pip install fastapi
pip install uvicorn
Creating Your First REST API with FastAPI
Example: A Simple “Hello” API
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return {"message": "Hello, FastAPI!"}
Running the Application
uvicorn main:app --reload
Visit in browser:
http://127.0.0.1:8000
Creating CRUD API with FastAPI
Example: CRUD for Users
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class User(BaseModel):
id: int
name: str
email: str
users_db = []
@app.post("/users")
def create_user(user: User):
users_db.append(user)
return user
@app.get("/users")
def get_users():
return users_db
Built-In API Documentation
FastAPI automatically generates beautiful documentation:
| Type | URL |
|---|---|
| Swagger UI | http://127.0.0.1:8000/docs |
| ReDoc | http://127.0.0.1:8000/redoc |
This is extremely useful for backend + frontend collaboration.
When to Use FastAPI
Best Use Cases
✔ High-performance APIs
✔ Microservices
✔ Asynchronous operations (e.g., chats, notifications)
✔ Machine Learning model serving
✔ Scalable backend systems
Not ideal for
❌ Heavy full-stack template rendering frameworks like Django
FastAPI vs Flask vs Django
| Feature | FastAPI | Flask | Django |
|---|---|---|---|
| Performance | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| Boilerplate | Low | Medium | High |
| Async support | Yes | Limited | Yes |
| Built-in Admin | No | No | Yes |
Conclusion
FastAPI is one of the most efficient and modern frameworks available for building RESTful APIs in Python. Its speed, auto documentation, and ease of use make it a perfect choice for beginners, startups, and advanced production systems.
If you haven’t tried FastAPI yet—now is the perfect time! 🚀
Next Blog Coming Up
👉 Async Programming in Python (AsyncIO)
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