Redis

Python cache decorator and other itils with support for Redis or KeyDB

Redis-over-WebSocket API on top of websockets and aioredis

Python log handler to forward logs to Redis database

Library for communicating with Redis Clusters. Built on top of redis-py lib

High Level Asyncio interface to redis

A simple and robust caching solution for FastAPI endpoints, fueled by the unfathomable power of Redis.

Simple message queue based on Redis.

Timeseries API built on top of Redis

A set of tools to ease LUA scripting when dealing with Redis.

Redis Import tool, copy data from one redis instance into another or into a cluster.

Python Containers and Simple Models for Redis

llama-index docstore redis integration

Redis Cluster support extension for aioredis

Django live settings with pluggable backends, including Redis.

Easier to use fakeredis in Django.

An app that provides django integration for RQ (Redis Queue)

RedisJSON Python Client

llama-index storage-chat-store redis integration

Redis task lock decorator for django celery tasks

Some extensions for redis-limpyd, a redis orm (sort of) in python.

A log handler for the Python logging module, emitting all logs to specific Redis channels

robotframework-redislibrary is a Robot Framework test library for manipulating in-memory data which store in Redis

A decorator for caching properties in Redis.

Redis Client

(aio)REDIS wrapper to deal with cluster redirect exceptions (`MOVED`).

Queue system with key-based throttling implemented over Redis.

GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications.

Python message queuing with Redis and message deduplication

Redis-based components for Scrapy.

Python client for Redis database and key-value store

Python async client for Redis key-value store

Redis based Reader-Writer lock with Writer's priority.

An redis python datastructures package.

Redis Entities

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster

Package for enqueuing and fetching async jobs, using Redis as a queue and result repository

Wheels that bundle precompiled redis-server and redis-cli binaries for the appropriate platform

Common utilities related to how Sentry uses Redis

Redis Based Task Queue

Provides job scheduling capabilities to RQ (Redis Queue)

Mock for redis-py

Dispatch and run distributed work asynchronously, brokered by Redis

redis toolset

Redis object relation mapper

A work queue, on top of a redis database, with implementations in Python, Rust, Go, Node.js (TypeScript) and Dotnet (C#).

django cluster redis

Job queues in python with asyncio and redis

A redis semaphore implementation using eval scripts

redis-cache-tools is a pythonic interface for creating a cache over redis.

A package that works with Redis Sentinel.