Modern Python web applications rely on standardized interfaces between web servers and application code. These standards are:
WSGI – Web Server Gateway Interface
ASGI – Asynchronous Server Gateway Interface
Both define how Python applications communicate with application servers, but they are designed for different workloads and performance models.
What is WSGI?
WSGI (Web Server Gateway Interface) is a Python standard that defines how web servers communicate with synchronous Python web applications.
It was designed for the traditional request–response model of HTTP.
How WSGI Works
Client sends HTTP request
Web server (e.g., Nginx) receives it
Request is forwarded to a WSGI server (e.g., Gunicorn)
Gunicorn calls the Python app
App returns response
Response goes back to client
WSGI Architecture
Client → Nginx → Gunicorn (WSGI) → Django/Flask AppPopular WSGI Servers
Gunicorn
uWSGI
mod_wsgi
Frameworks That Use WSGI
Django
Flask
Pyramid
When to Use WSGI
Use WSGI when:
Your app is traditional request–response (CRUD apps, admin panels)
No WebSockets needed
Mostly database-driven application
You want stability and maturity
CPU-bound or simple I/O workload
Examples:
ERP system
Blog platform
Internal enterprise dashboard
REST APIs without real-time features
What is ASGI?
ASGI (Asynchronous Server Gateway Interface) is the modern successor to WSGI.
It supports:
Async/await
WebSockets
Long-lived connections
Background tasks
HTTP/2
High concurrency
ASGI is event-loop based and non-blocking.
How ASGI Works
Client sends HTTP or WebSocket request
Web server (e.g., Nginx) receives it
Request forwarded to ASGI server (e.g., Uvicorn)
ASGI server runs event loop
Async app handles multiple requests concurrently
ASGI Architecture
Client → Nginx → Uvicorn (ASGI) → FastAPI/Django(Async)Popular ASGI Servers
Uvicorn
Hypercorn
Daphne
Frameworks That Use ASGI
FastAPI
Starlette
Django (async mode supported)
When to Use ASGI
Use ASGI when:
You need WebSockets
You need real-time chat
Live notifications
Streaming APIs
Long polling
High concurrent users
Microservices architecture
AI/ML model serving with streaming responses
Examples:
Chat application
Live trading dashboard
Real-time analytics system
Streaming LLM responses
Online multiplayer system

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