turboapi 0.2.7

A high-performance web framework with elegant syntax and powerful validation using satya

TurboAPI

The high-performance Python web framework with FastAPI-compatible syntax

What is TurboAPI?

TurboAPI is a lightning-fast ASGI web framework designed for speed without sacrificing developer experience. It combines:

• FastAPI-compatible syntax - Familiar API with minimal learning curve
• Starlette foundation - Robust, battle-tested ASGI implementation
• Satya validation - Ultra-efficient data validation (30x faster than Pydantic)
• Complete authentication system - JWT, OAuth2, and Basic authentication built-in

If you like FastAPI but need better performance, TurboAPI is the framework you've been waiting for.

🎯 Why Choose TurboAPI?

• You need better performance - FastAPI's tight coupling with Pydantic creates a performance bottleneck
• You love the FastAPI syntax - TurboAPI preserves the developer-friendly API you already know
• You want modern features - All the goodies: dependency injection, auto docs, type hints, etc.
• You value simplicity - Drop-in replacement with minimal learning curve

⚡ Performance Highlights

TurboAPI outperforms FastAPI by a wide margin in both validation speed and HTTP request handling:

🚀 Validation Performance

TurboAPI's validation engine is 31.3x faster than FastAPI + Pydantic

🔥 HTTP Performance

• 2.8x more requests per second - Handle more traffic with the same hardware
• 66% lower latency - More responsive applications
• ~50% faster response times - Recent benchmarks show TurboAPI outperforms FastAPI by approximately 45-50% in API operations

Full benchmark details

📊 TurboAPI vs FastAPI Benchmark

Our latest benchmark comparing TurboAPI and FastAPI demonstrates significant performance advantages:

# Run the benchmark yourself
python examples/turboapi_fastapi_benchmark.py

Results consistently show TurboAPI processing requests with about half the latency of FastAPI across various payload sizes and operation types.

🌟 Key Features

Feature	Description
🔍 FastAPI-compatible API	Everything you love about FastAPI's interface
⚡ 30x faster validation	Satya validation engine outperforms Pydantic
📘 Automatic API docs	Swagger UI and ReDoc integration
💉 Dependency injection	Clean, modular code with dependency management
🔄 WebSockets	Real-time bi-directional communication
🔒 Complete auth system	JWT, OAuth2, and Basic authentication with middleware support
🧩 API Router	Organize routes with prefixes and tags
🔄 Background tasks	Efficient asynchronous task processing

🔒 Authentication Features

TurboAPI includes a comprehensive authentication system with:

• OAuth2 Password Flow - Authenticate using username and password
• JWT Authentication - Industry-standard token authentication
• Basic Authentication - Simple username/password auth for internal services
• Custom Auth Backends - Create your own authentication strategies
• Middleware Integration - Secure your app at the middleware level
• Authorization Scopes - Fine-grained access control
• Path Exclusion - Exclude specific paths from authentication requirements

⚙️ Installation

# From PyPI
pip install turboapi

# Installs all dependencies including Satya

🚀 Quick Start

from turboapi import TurboAPI
from satya import Model, Field
from typing import List, Optional

app = TurboAPI(title="TurboAPI Demo")

# Define models with Satya (30x faster than Pydantic)
class Item(Model):
    name: str = Field()
    price: float = Field(gt=0)
    tags: List[str] = Field(default=[])
    description: Optional[str] = Field(required=False)

# API with typed parameters - just like FastAPI
@app.get("/")
def read_root():
    return {"Hello": "World"}

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

@app.post("/items/")
def create_item(item: Item):
    return item.to_dict()

# Run the application with Uvicorn
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)

🔒 Authentication Example

Here's a simple example of using JWT authentication:

from turboapi import TurboAPI, Depends, HTTPException, JWTAuthentication
from turboapi.middleware import JWTAuthMiddleware
from satya import Model, Field

# Define your app with JWT authentication middleware
app = TurboAPI(
    title="Secure API",
    middleware=[
        Middleware(JWTAuthMiddleware, 
                  secret_key="your-secret-key", 
                  excluded_paths=["/token", "/docs"])
    ]
)

# User model
class User(Model, BaseUser):
    username: str = Field()
    email: str = Field()
    
    @property
    def identity(self) -> str:
        return self.username
        
# Authentication dependency
async def get_current_user(request):
    # The user is already set by the middleware
    if not request.user.is_authenticated:
        raise HTTPException(status_code=401, detail="Not authenticated")
    return request.user

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

🧩 Core Concepts

Application

The TurboAPI class is the main entry point for creating web applications:

from turboapi import TurboAPI

app = TurboAPI(
    title="TurboAPI Example API",
    description="A sample API showing TurboAPI features",
    version="0.1.0",
    debug=False
)

Path Operations

TurboAPI provides decorators for all standard HTTP methods:

@app.get("/")
@app.post("/items/")
@app.put("/items/{item_id}")
@app.delete("/items/{item_id}")
@app.patch("/items/{item_id}")
@app.options("/items/")
@app.head("/items/")

Path Parameters

Path parameters are part of the URL path and are used to identify a specific resource:

@app.get("/items/{item_id}")
def read_item(item_id: int):
    return {"item_id": item_id}

Query Parameters

Query parameters are optional parameters appended to the URL:

@app.get("/items/")
def read_items(skip: int = 0, limit: int = 10):
    return {"skip": skip, "limit": limit}

Request Body

Request bodies are parsed and validated using Satya models:

@app.post("/items/")
def create_item(item: Item):
    return item

Dependency Injection

TurboAPI includes a powerful dependency injection system:

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

@app.get("/items/")
def read_items(db = Depends(get_db)):
    return db.get_items()

Response Models

Specify response models for automatic serialization and documentation:

@app.get("/items/{item_id}", response_model=Item)
def read_item(item_id: int):
    return get_item_from_db(item_id)

🔋 Advanced Features

Background Tasks

TurboAPI supports efficient background task processing without blocking the main request:

from turboapi import BackgroundTasks

@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):
    background_tasks.add_task(send_email_notification, email, message="Welcome!")
    return {"message": "Notification will be sent in the background"}

For more complex task processing, TurboAPI can integrate with:

• asyncio.create_task() for simple async tasks
• arq for Redis-based task queues
• Celery for distributed task processing
• Dramatiq for simple but powerful task processing

API Routers

Organize your routes using the APIRouter:

from turboapi import APIRouter

router = APIRouter(prefix="/api/v1")

@router.get("/items/")
def read_items():
    return {"items": []}

app.include_router(router)

Middleware

Add middleware for cross-cutting concerns:

from turboapi import Middleware

# Add middleware at app initialization
app = TurboAPI(
    middleware=[
        Middleware(CORSMiddleware, allow_origins=["*"]),
        Middleware(AuthenticationMiddleware, backend=JWTAuthentication(...))
    ]
)

Exception Handlers

Custom exception handlers:

@app.exception_handler(404)
async def not_found_exception_handler(request, exc):
    return JSONResponse(
        status_code=404,
        content={"message": "Resource not found"}
    )

WebSockets

Real-time bi-directional communication:

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

OAuth2 and Security

Comprehensive security features:

from turboapi import OAuth2PasswordBearer, OAuth2PasswordRequestForm

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

@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=400, detail="Invalid credentials")
    return {"access_token": create_access_token(user), "token_type": "bearer"}

@app.get("/users/me")
async def read_users_me(token: str = Depends(oauth2_scheme)):
    user = get_current_user(token)
    return user

📈 Why Choose TurboAPI Over FastAPI?

TurboAPI combines the best of both worlds:

1. Familiar API: If you know FastAPI, you already know TurboAPI
2. Exceptional Performance: 30x faster validation, 2x higher HTTP throughput
3. True Framework Independence: Built from the ground up to avoid Pydantic dependency
4. Production Ready: Built with performance and reliability in mind
5. Feature Complete: Everything FastAPI has, with superior performance
6. Future Proof: Actively maintained and improved

🎯 Why TurboAPI Exists

TurboAPI was created to solve a fundamental limitation: FastAPI is tightly coupled with Pydantic, making it nearly impossible to replace Pydantic with a faster validation system. Even when implementing custom route handlers in FastAPI, Pydantic is still used under the hood for request/response processing, severely limiting performance optimization potential.

The solution? Build a framework with FastAPI's elegant interface but powered by Satya, a validation library that delivers exceptional performance. This architectural decision allows TurboAPI to maintain API compatibility while achieving dramatic performance improvements.

🔮 What's Next?

TurboAPI is actively being developed with a focus on:

1. Even Better Performance: Continuous optimization efforts
2. Enhanced Validation Features: More validation options with Satya
3. Advanced Caching: Integrated caching solutions
4. GraphQL Support: Native GraphQL endpoint creation
5. More Middleware: Additional built-in middleware options

📚 Learning Resources

• Examples: Practical examples for various use cases
• Benchmarks: Detailed performance comparisons
• Documentation: Comprehensive documentation

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

TurboAPI builds upon the excellent work of the Starlette and FastAPI projects, offering a compatible API with dramatically improved performance.