Redis Python Packages

redis

Redis Python client

kombu

Messaging library for Python.

celery

Distributed Task Queue (development branch)

fakeredis

Implementation of Redis API in python without having a server running. Fully compatible with using redis-py.

limits

Rate limiting using various strategies and storage backends such as redis, memcached & mongodb

flask-limiter

Rate Limiting extension for Flask

pydocket

docket is a distributed background task system for Python

requests-cache

Persistent HTTP cache for python requests

huey

a little task queue for python

flower

Real-time monitor and web admin for Celery distributed task queue

aiocache

Asyncio cache manager for redis, memcached and memory

rq

Simple job queues for Python

redis-py-cluster

Python cluster client for the official redis cluster. Redis 3.0+.

bubus

📢 Fast in-memory Python & Typescript event bus library with support for advanced concurrency control features, nested event tracking, Pydantic & Zod type enforcement, and more...

celery-redbeat

RedBeat is a Celery Beat Scheduler that stores the scheduled tasks and runtime metadata in Redis.

arq

Fast job queuing and RPC in python with asyncio and redis.

dogpile-cache

dogpile.cache is a Python caching API which provides a generic interface to caching backends of any variety

bullmq

BullMQ - Message Queue and Batch processing for NodeJS, Python, Elixir and PHP based on Redis

redisvl

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

aioredis

asyncio (PEP 3156) Redis support

dramatiq

A fast and reliable background task processing library for Python 3.

coredis

coredis is an async redis client for python with support for redis cluster, sentinel and popular redis modules

faststream

FastStream is a powerful and easy-to-use asynchronous Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS, MQTT and Redis.

throttled-py

🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).