#atom
Tags: #Python #Programming #SoftwareDevelopment #WebDevelopment #ASGI #Middleware
Definition:
Starlette is a lightweight ASGI (Asynchronous Server Gateway Interface) framework/toolkit for building high-performance asyncio web services and applications in Python. It provides the foundational components for handling HTTP requests, WebSockets, and background tasks, making it a popular choice for building modern, asynchronous web applications and microservices.
Key Features:
- ASGI Support: Fully compliant with the ASGI specification, enabling asynchronous request handling.
- Modular Design: Provides reusable components for routing, middleware, and request/response handling.
- WebSocket Support: Built-in support for WebSocket connections.
- Background Tasks: Allows running tasks asynchronously after a response is sent.
- Performance: Optimized for high performance, making it suitable for low-latency applications.
Use Cases:
- Microservices: Building lightweight, high-performance microservices.
- Web Applications: Serving as the foundation for web frameworks like FastAPI.
- Real-Time Applications: Handling WebSocket connections for real-time communication.
- Middleware Development: Creating custom middleware for ASGI applications.
- Prototyping: Rapidly building and testing asynchronous web services.
Syntax Highlights:
- Basic Application: Define a simple ASGI application.
from starlette.applications import Starlette from starlette.responses import JSONResponse from starlette.routing import Route async def homepage(request): return JSONResponse({"message": "Hello, World!"}) app = Starlette(debug=True, routes=[ Route("/", homepage), ])
- Middleware: Add middleware to the application.
from starlette.middleware import Middleware from starlette.middleware.cors import CORSMiddleware app = Starlette( middleware=[ Middleware(CORSMiddleware, allow_origins=["*"]) ] )
- WebSocket Endpoint: Handle WebSocket connections.
from starlette.websockets import WebSocket async def websocket_endpoint(websocket: WebSocket): await websocket.accept() await websocket.send_text("Hello, WebSocket!") await websocket.close()
- Background Tasks: Run tasks after sending a response.
async def process_data(data): # Simulate background processing print(f"Processing: {data}") async def homepage(request): request.state.background = process_data("example") return JSONResponse({"message": "Processing in the background!"})
Advantages:
- Lightweight: Minimalistic and easy to integrate into existing projects.
- Asynchronous: Fully supports
async
andawait
for high concurrency. - Extensible: Modular design allows for easy customization and extension.
- Performance: Optimized for low-latency, high-throughput applications.
- Community Support: Widely used and supported by the Python community.
Disadvantages:
- Learning Curve: Requires familiarity with ASGI and asynchronous programming.
- Limited Features: Does not include higher-level features like authentication or templating out of the box.
- Tooling: Some advanced features may require additional libraries or custom implementation.
Ecosystem:
- Installation: Installed via
pip
.pip install starlette
- Dependencies: Works with ASGI servers like Uvicorn and Hypercorn.
- Frameworks: Used as the foundation for FastAPI and other ASGI-based frameworks.
History:
- Created by Tom Christie and first released in 2018.
- Designed to provide a lightweight, modular alternative to traditional WSGI frameworks.
- Has become a core component of the modern Python web ecosystem.
Connections:
- Related Concepts: ASGI, Asynchronous Programming, Web Development, Microservices.
- Frameworks: FastAPI, Django Channels, Quart.
- Tools: Uvicorn, Hypercorn, Pydantic.
- FastAPI
- ASGI
- Uvicorn
- Pydantic
Sources:
- Starlette Documentation. "https://www.starlette.io/"
- Christie, Tom. "Building Web Applications with Starlette."
- From: LearnPython
Reflection:
Starlette is a powerful and flexible toolkit for building modern, asynchronous web applications in Python. Its modular design and ASGI compliance make it an excellent choice for developers looking to create high-performance microservices or real-time applications. While it may require some familiarity with asynchronous programming, its simplicity and extensibility make it a valuable tool in the Python web development ecosystem.
Connections:
Sources:
- From: FastAPI