Dependency Injector VS aioredis

Compare Dependency Injector vs aioredis and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Dependency Injector aioredis
7 2
3,581 2,269
1.9% -
0.0 0.0
about 2 months ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Dependency Injector

Posts with mentions or reviews of Dependency Injector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.

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.

What are some alternatives?

When comparing Dependency Injector and aioredis you can also consider the following projects:

django-rest-framework - Web APIs for Django. 🎸

pottery - Redis for humans. 🌎🌍🌏

kink - Dependency injection container made for Python

uvloop - Ultra fast asyncio event loop.

flask-restful - Simple framework for creating REST APIs

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

falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.

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)

connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.

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

flask-api - Browsable web APIs for Flask.

faust - Python Stream Processing. A Faust fork