FastAPI 2026: why it outperforms Django by 6 times

In recent years, a real revolution has been taking place in the world of Python development. More and more teams are choosing FastAPI for new projects, gradually pushing aside Django, a framework that has been the industry standard for many years. Let's figure out what's going on and why beginner developers should pay attention to FastAPI.

What is FastAPI and Django?

Django is a full-featured web framework that has existed since 2005. It was created to develop full-fledged web applications with a built-in admin panel, ORM, template system and many other "out of the box" features.

FastAPI — a modern framework that appeared in 2018, specially created for API development. It is built on the modern capabilities of Python 3.7+ and asynchronous programming.

Why is FastAPI gaining popularity?

1. Performance like Go and Node.js

FastAPI is one of the fastest Python frameworks thanks to its asynchrony. Here's a simple comparison:

# Django (synchronous approach)
from django.http import JsonResponse

def get_users(request):
    users = User.objects.all()  # Blocking request
    return JsonResponse({'users': list(users.values())})

# FastAPI (asynchronous approach)
from fastapi import FastAPI
from typing import List

app = FastAPI()

@app.get("/users")
async def get_users() -> List[dict]:
    users = await database.fetch_all("SELECT * FROM users")
    return users

💡 Important: In FastAPI, requests are processed asynchronously, which allows the server to serve thousands of connections simultaneously without blocking. Django also supports asynchrony since version 3.1, but the ecosystem is not yet fully adapted.

2. Incredibly easy start

You can create your first API in FastAPI in just 5 minutes:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "Hello, world!"}

@app.get("/items/{item_id}")
async def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

Run with the command:

uvicorn main:app --reload

✅ And that's it! You already have a working API. No settings, configuration files, or complex project structures.

3. Automatic documentation is magic

One of the coolest features of FastAPI is automatic interactive documentation. Just open http://localhost:8000/docs, and you will see the complete Swagger UI documentation, where you can test each endpoint directly in the browser.

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(
    title="My project's API",
    description="Description of all endpoints",
    version="1.0.0"
)

class Item(BaseModel):
    name: str
    description: str = None
    price: float

@app.post("/items/")
async def create_item(item: Item):
    """
    Creating a new product:
    
    - **name**: product name
    - **description**: description (optional)
    - **price**: product price
    """
    return {"item": item}

Documentation is generated automatically from data types and docstrings. In Django, you need to use additional libraries like drf-spectacular for this.

4. Standardization and validation out of the box

FastAPI uses Pydantic for automatic data validation:

from pydantic import BaseModel, EmailStr, validator
from typing import Optional

class User(BaseModel):
    username: str
    email: EmailStr
    age: Optional[int] = None
    
    @validator('age')
    def age_must_be_positive(cls, v):
        if v is not None and v < 0:
            raise ValueError('Age cannot be negative')
        return v

@app.post("/users/")
async def create_user(user: User):
    # If the data is not valid, FastAPI will automatically return a 422 error
    # with a detailed description of the problem
    return {"user": user}

If you send invalid data, you will receive a clear error indicating all the problems.

5. Modern work with dependencies

Dependency Injection in FastAPI makes the code clean and testable:

from fastapi import Depends, HTTPException
from sqlalchemy.orm import Session

def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

def get_current_user(token: str = Header(...)):
    user = verify_token(token)
    if not user:
        raise HTTPException(status_code=401, detail="Unauthorized")
    return user

@app.get("/users/me")
async def read_current_user(
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db)
):
    return current_user

Dependencies are automatically resolved and implemented. This makes testing incredibly easy.

6. WebSocket and background tasks

from fastapi import WebSocket, BackgroundTasks
import time

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()
        await websocket.send_text(f"Received: {data}")

def write_log(message: str):
    time.sleep(5)  # Long operation
    with open("log.txt", "a") as f:
        f.write(message)

@app.post("/send-notification/")
async def send_notification(
    email: str, 
    background_tasks: BackgroundTasks
):
    background_tasks.add_task(write_log, f"Sent to {email}")
    return {"message": "Notification will be sent"}

When to choose Django?

FastAPI is not always the best choice. Django is preferable if you need:

• Full-fledged web application with admin panel — Django Admin out of the box

• Authentication and authorization system - ready and time-tested

• ORM with migrations — Django ORM is easier for beginners

• Built-in template system — if you need server-side rendering

• Huge ecosystem of packages — Django has been around for 19 years

Practical example: CRUD API

Let's create a simple CRUD API for managing tasks:

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
from datetime import datetime

app = FastAPI()

class Task(BaseModel):
    id: Optional[int] = None
    title: str
    description: Optional[str] = None
    completed: bool = False
    created_at: Optional[datetime] = None

# Temporary storage (in reality, use a database)
tasks_db = []
task_id_counter = 1

@app.post("/tasks/", response_model=Task)
async def create_task(task: Task):
    global task_id_counter
    task.id = task_id_counter
    task.created_at = datetime.now()
    task_id_counter += 1
    tasks_db.append(task)
    return task

@app.get("/tasks/", response_model=List[Task])
async def get_tasks(completed: Optional[bool] = None):
    if completed is None:
        return tasks_db
    return [t for t in tasks_db if t.completed == completed]

@app.get("/tasks/{task_id}", response_model=Task)
async def get_task(task_id: int):
    task = next((t for t in tasks_db if t.id == task_id), None)
    if not task:
        raise HTTPException(status_code=404, detail="Task not found")
    return task

@app.put("/tasks/{task_id}", response_model=Task)
async def update_task(task_id: int, task_update: Task):
    task = next((t for t in tasks_db if t.id == task_id), None)
    if not task:
        raise HTTPException(status_code=404, detail="Task not found")
    
    task.title = task_update.title
    task.description = task_update.description
    task.completed = task_update.completed
    return task

@app.delete("/tasks/{task_id}")
async def delete_task(task_id: int):
    global tasks_db
    tasks_db = [t for t in tasks_db if t.id != task_id]
    return {"message": "Task deleted"}

Database integration

FastAPI works great with SQLAlchemy:

from sqlalchemy import create_engine, Column, Integer, String, Boolean
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

SQLALCHEMY_DATABASE_URL = "sqlite:///./tasks.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

class TaskModel(Base):
    __tablename__ = "tasks"
    
    id = Column(Integer, primary_key=True, index=True)
    title = Column(String, index=True)
    description = Column(String)
    completed = Column(Boolean, default=False)

Base.metadata.create_all(bind=engine)

@app.post("/tasks/", response_model=Task)
async def create_task(task: Task, db: Session = Depends(get_db)):
    db_task = TaskModel(**task.dict(exclude={'id'}))
    db.add(db_task)
    db.commit()
    db.refresh(db_task)
    return db_task

Authentication and security

from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from passlib.context import CryptContext
from jose import JWTError, jwt
from datetime import datetime, timedelta

SECRET_KEY = "your-secret-key"
ALGORITHM = "HS256"

pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

def create_access_token(data: dict):
    to_encode = data.copy()
    expire = datetime.utcnow() + timedelta(minutes=30)
    to_encode.update({"exp": expire})
    return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)

@app.post("/token")
async def login(form_data: OAuth2PasswordRequestForm = Depends()):
    user = authenticate_user(form_data.username, form_data.password)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Invalid credentials"
        )
    access_token = create_access_token(data={"sub": user.username})
    return {"access_token": access_token, "token_type": "bearer"}

async def get_current_user(token: str = Depends(oauth2_scheme)):
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")
        if username is None:
            raise HTTPException(status_code=401)
        return username
    except JWTError:
        raise HTTPException(status_code=401)

@app.get("/users/me")
async def read_users_me(current_user: str = Depends(get_current_user)):
    return {"username": current_user}

Testing

FastAPI makes testing easy:

from fastapi.testclient import TestClient

client = TestClient(app)

def test_create_task():
    response = client.post(
        "/tasks/",
        json={"title": "Test task", "description": "Description"}
    )
    assert response.status_code == 200
    assert response.json()["title"] == "Test task"

def test_get_tasks():
    response = client.get("/tasks/")
    assert response.status_code == 200
    assert isinstance(response.json(), list)

Performance: facts and figures

According to TechEmpower Benchmarks (2026):

🚀 Conclusion: FastAPI can handle 6 times more requests with the same load!

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