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Async rate limiter for FastAPI with Redis or native in-memory backend

Project description

fastapi‑easylimiter

GitHub stars GitHub forks GitHub issues GitHub license PyPI

An ASGI async rate-limiting middleware for FastAPI with Redis or in-memory caching. Designed to handle auto-generated routes (such as those provided by FastAPI-Users) without requiring decorators, purely for simplicity.

Features

  • Async rate limiting
  • Optional temporary IP bans
    • Configurable threshold (default 10 violations)
    • Sliding 30-min offense window
    • 5-min ban on repeat abuse
  • Cache
    • Redis
    • In-Memory (single worker dev)
  • Path Based Rules
  • Multi-rule prefix matching
    • Capable of global rate-limits and per-route
  • Standard rate-limit headers
    • X-RateLimit-Limit
    • X-RateLimit-Remaining
    • X-RateLimit-Reset
    • Retry-After on 429 responses
    • Tracking for remaining time sent in headers
  • Proxy Aware
    • Uses 'X-Forwarded-For' only when the sender is trusted
    • Rejects spoofed XFF headers
    • Uses 'CF-Connecting-IP' and chekcks connection IP against CF CIDR list
    • Falls back to ASGI scope["client"] if no trusted headers exist
  • Zero Dependencies Beyond Redis Client
    • Starlette-style ASGI middleware
  • HTMLResponse for banned browser clients or JSONResponse for API clients

Installation

pip install fastapi-easylimiter

Usage

from fastapi import FastAPI
from fastapi_easylimiter import AsyncRedisBackend, InMemoryBackend, RateLimiterMiddleware
import redis.asyncio as redis_async

app = FastAPI()

REDIS_URL = "redis://localhost:6379/0"

# Redis backend (recommended for multi-instance deployments)
redis_client = redis_async.from_url(REDIS_URL, decode_responses=True)
backend = AsyncRedisBackend(redis_client)

# Or for single-instance/local development:
# backend = InMemoryBackend()

rules = {
    "/": {"limit": 600, "period": 60},          # GLOBAL: 600 req/min per IP
    "/api/": {"limit": 10, "period": 1},
    "/api/users": {"limit": 1, "period": 2},
}

app.add_middleware(
    RateLimiterMiddleware,
    rules=rules,
    backend=backend,
    trusted_proxies=[""],     # ← NEW: your proxy IPs here: OPTIONAL
    cloudflare=False,         # ← NEW: enables CF-Connecting-IP: OPTIONAL
    enable_bans=True,         # ← NEW: turn on/off banning: OPTIONAL
    ban_threshold=15,         # ← violations before ban
    ban_duration=300,         # ← ban length in seconds
    offenses_ttl=900,        # ← offense counting window
    ban_page="<p>Your IP has been temporarily banned due to excessive requests.</p>", # ← NEW: custom ban page: OPTIONAL
)

A request to /api/users/me will match:

  • /api/users
  • /api

If ANY rule is exceeded → request becomes 429.

Uses Atomic LUA script:

local c = redis.call('INCR', KEYS[1])
if c == 1 then redis.call('EXPIRE', KEYS[1], ARGV[2]) end

Keys follow the pattern - rl:{client_ip}:{prefix}, which is saved as rl:203.0.113.5:/api

Parameter Type Description
app ASGIApp FastAPI/ASGI app
rules dict { prefix: {"limit": int, "period": int} }
backend Redis or InMemory backend Rate-limit storage
trusted_proxies list[str] Proxies allowed to trust XFF headers
cloudflare bool Enable Cloudflare IP extraction
enable_bans bool Enable temporary IP bans
ban_threshold int Violations before ban
ban_duration int Ban length in seconds
offenses_ttl int Offense counting window in seconds
image

Contributing

Contributions and forks are always welcome! Feel free to adapt and improve for your own needs.

Support

Buy Me a Coffee

Parts of this code were generated/assisted by AI (Grok).

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