aioredis VS fastapi-redis-cache

Compare aioredis vs fastapi-redis-cache and see what are their differences.

aioredis

asyncio (PEP 3156) Redis support (by aio-libs)
python-3 Asyncio Redis redis-sentinel Python redis-client aioredis Python3 Python36 Python37 Python38 Python39 HacktoberFest python310

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fastapi-redis-cache

A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis) (by a-luna)
Fastapi api-cache web-cache redis-py redis-database fastapi-extension redis-cache Redis Python3 Python37 Python38 Python39
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aioredis fastapi-redis-cache
2 1
2,269 143
- -
0.0 0.0
about 1 year ago 13 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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aioredis

Posts with mentions or reviews of aioredis. We have used some of these posts to build our list of alternatives and similar projects.
  • Pooling in aioredis may be dangerous
    1 project | dev.to | 5 Jun 2022
    First, it was aioredis library. We are using sentinel based client because with this we can achieve failover easily. Aioredis spawn pool of connections, that transparently reconnects (and here third thing — FOREVER, hello DDOS) to our sentinel nodes, and then to master node. It supposed to do so. Also, we found that if you are not limiting maximum connections count, library will do it for you and set it as 2 ** 31 (here you can see it) — this is fourth thing. Furthermore, pool in our version (2.0.1) not closing automatically, and it makes the problem worse.
  • Tips using Redis with FastAPI
    1 project | /r/FastAPI | 14 Mar 2021
    I'm hoping to leverage Redis with my project, and I was curious as to if anyone had any general pointers as to how best to manage the DB connection. I'm using aioredis such that I can leverage the async functionality, but I haven't been very happy with the library's documentation surrounding how best to leverage the connection pool. Most of the examples create and tear down the pool immediately without showing how best to manage its lifespan.

fastapi-redis-cache

Posts with mentions or reviews of fastapi-redis-cache. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing aioredis and fastapi-redis-cache you can also consider the following projects:

pottery - Redis for humans. 🌎🌍🌏

uvloop - Ultra fast asyncio event loop.

uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Dependency Injector - Dependency injection framework for Python

coronavirus-tracker-api - 🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!

redis-py-sansio - A sansio-first approach to a Python Redis Client.

fastapi-mailman - Porting Django's email implementation to your FastAPI applications.

faust - Python Stream Processing. A Faust fork

fastapi-cache - fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.

aioredis vs pottery fastapi-redis-cache vs pottery aioredis vs uvloop fastapi-redis-cache vs uvicorn-gunicorn-fastapi-docker aioredis vs fastapi fastapi-redis-cache vs opyrator aioredis vs Dependency Injector fastapi-redis-cache vs coronavirus-tracker-api aioredis vs redis-py-sansio fastapi-redis-cache vs fastapi-mailman aioredis vs faust fastapi-redis-cache vs fastapi-cache