Gunicorn

Python WSGI HTTP server. The standard production server for synchronous Python web applications (Flask, Django). Pre-fork model spawns worker processes to handle concurrent requests. Sits behind nginx/caddy as a reverse proxy. Simple configuration and high reliability make it the default choice for WSGI app deployment.

Evaluated Mar 06, 2026 (0d ago) v21+
Homepage ↗ Repo ↗ Developer Tools python wsgi server deployment workers flask django pre-fork
⚙ Agent Friendliness
63
/ 100
Can an agent use this?
🔒 Security
79
/ 100
Is it safe for agents?
⚡ Reliability
86
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
82
Error Messages
78
Auth Simplicity
100
Rate Limits
80

🔒 Security

TLS Enforcement
75
Auth Strength
80
Scope Granularity
70
Dep. Hygiene
88
Secret Handling
85

No built-in TLS — always put nginx/caddy in front for SSL termination. Keep gunicorn behind firewall. Limit bind to internal interface, not 0.0.0.0 in production.

⚡ Reliability

Uptime/SLA
88
Version Stability
88
Breaking Changes
85
Error Recovery
85
AF Security Reliability

Best When

Deploying synchronous Python WSGI apps (Flask, Django) in Linux/Docker production environments.

Avoid When

Building async Python apps (FastAPI, Starlette) — use uvicorn or hypercorn.

Use Cases

  • Deploy Flask or Django applications in production with gunicorn --workers 4 --bind 0.0.0.0:8000 myapp:app
  • Scale Python WSGI apps by increasing worker count: gunicorn -w $(2 * CPU + 1) for CPU-bound workloads
  • Use with gevent workers for I/O-bound apps: gunicorn --worker-class gevent --workers 1 -k gevent myapp:app
  • Containerize Python web apps: CMD ['gunicorn', '--bind', '0.0.0.0:8000', 'app:app'] in Dockerfile
  • Monitor worker health with gunicorn's built-in worker recycling and max-requests for memory leak mitigation

Not For

  • Async Python applications (FastAPI, Starlette) — use uvicorn or hypercorn for ASGI servers
  • Static file serving — always put nginx or CDN in front; gunicorn serves Python, not static files
  • Windows production deployment — gunicorn is Unix-only; use waitress on Windows

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

WSGI server — auth handled by the web framework (Flask, Django), not gunicorn.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT licensed open source server.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Worker count formula: 2 * CPU_CORES + 1 — too few workers causes queuing; too many causes context switching overhead
  • Sync workers (default) block during I/O — use gevent or eventlet worker class for I/O-bound apps to serve concurrent connections with one worker
  • gunicorn does NOT support ASGI — FastAPI/Starlette require uvicorn or hypercorn; gunicorn is WSGI-only
  • --max-requests and --max-requests-jitter should be set to mitigate memory leaks — workers are recycled after N requests
  • gunicorn sends SIGTERM to workers on shutdown — ensure your WSGI app handles graceful shutdown; connections may be dropped without proper signal handling
  • Worker timeout (default 30s) kills slow requests — long-running endpoints (file uploads, ML inference) need --timeout increase or async worker class

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Gunicorn.

$99

Scores are editorial opinions as of 2026-03-06.

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