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-
Production-ready Python web services
-
Gunicorn is a dependable WSGI HTTP server for UNIX that keeps Python applications running fast and resilient in production. Built on a pre-fork worker model and trusted in countless deployments, it pairs clean configuration with flexible worker strategies so you can meet any traffic pattern.
+
The Python WSGI Server
for Production
+
Fast, reliable, and battle-tested. Gunicorn runs your Python web applications with the stability and performance you need in production.
-
$ pip install gunicorn
-$ gunicorn example:app --workers 3
-
Latest release: {{ release }}
+
pip install gunicorn
+gunicorn myapp:app --workers 4
+
v{{ release }}
-## Quickstart
+
- Works with your framework
- Django, Flask, FastAPI, Pyramid, you name it—Gunicorn speaks WSGI so your stack just runs.
- Running Gunicorn →
+ Sync Workers
+ The default. One request per worker. Simple, predictable, and perfect for most applications.
+ Learn more
- Flexible workers
- Sync, async, gevent, eventlet—choose the concurrency model that fits.
- Worker classes →
+ Async Workers
+ Gevent or Eventlet for thousands of concurrent connections. Ideal for I/O-bound workloads.
+ Learn more
- Battle-tested hooks
- Lifecycle hooks let you instrument, reload, and extend Gunicorn to match your deployment requirements.
- Server hooks →
+ Thread Workers
+ Multiple threads per worker. Balance between concurrency and simplicity.
+ Learn more
- Containers to bare metal
- Deploy with systemd, Kubernetes, Heroku, or Docker—the configuration stays predictable everywhere.
- Deployment patterns →
+ ASGI Workers Beta
+ Native asyncio support for FastAPI, Starlette, and other async frameworks.
+ Learn more
-## Documentation map
+## Quick Links
-- [Install](install.md): Set up Gunicorn in a clean environment.
-- [Run](run.md): CLI usage and integration with frameworks.
-- [Configure](configure.md): Combine CLI flags and config files effectively.
-- [Settings reference](reference/settings.md): Generated from the Gunicorn source of truth.
-- [Signals](signals.md): Manage worker lifecycle in production.
-- [Instrumentation](instrumentation.md): Monitor metrics and logs.
+