pkgdocs/compare/aiohttp vs redis

Comparing

Python

aiohttp

Async http client/server framework (asyncio)

0/ wk
v3.13.5
vs
Python

redis

Python client for Redis — the in-memory data store for caching, pub/sub, and queues.

8.5M/ wk
v5.0.8
Metricaiohttpredis
EcosystemPythonPython
DifficultyBeginner ✓Intermediate
Weekly downloads08.5M↑
Latest versionv3.13.5v5.0.8
Recipes13↑

Tags

aiohttp only

asynciohttp-clienthttp-serverwebwww/http

Shared

async

redis only

rediscachepubsubdatabase

When to use each

aiohttp

Use aiohttp when you need a battle-tested async HTTP client or server, especially in applications that make many concurrent HTTP calls (scrapers, API aggregators) or build lightweight async web services. It has a mature ecosystem and is widely used in production.

redis

Caching API responses or DB queries, session storage, rate limiting counters, pub/sub messaging, leaderboards (sorted sets), task queues (BLPOP), distributed locks.

When to skip each

aiohttp

For new async API projects, FastAPI (built on Starlette/uvicorn) has better developer ergonomics, automatic validation, and docs. For synchronous scripts, requests is simpler. httpx offers a compatible API with both sync and async modes if you want flexibility.

redis

Primary persistent storage — Redis is RAM-first and can evict data. Complex relational queries. Large blobs (Redis excels at small, fast values).

Sample recipes

aiohttp

  • Install aiohttp

redis

  • Cache a slow function result
  • Rate limiting with INCR + EXPIRE
  • Async Redis with FastAPI