OpenTelemetry instrumentation for `redis` database client for Redis
Redis utilities for redis instrumentations
A robust, performance-focused and full-featured Redis client for Node.js.
A modern, high performance Redis client
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
This package provides support for the [RedisJSON](https://redis.io/docs/latest/develop/data-types/json/) module, which adds JSON as a native data type to Redis.
The source code and documentation for this package are in the main [node-redis](https://github.com/redis/node-redis) repo.
This package provides support for the [RediSearch](https://redis.io/docs/interact/search-and-query/) module, which adds indexing and querying support for data stored in Redis Hashes or as JSON documents with the [RedisJSON](https://redis.io/docs/data-type
This package provides support for the [RedisTimeSeries](https://redis.io/docs/data-types/timeseries/) module, which adds a time series data structure to Redis.
An HTTP/REST based Redis client built on top of Upstash REST API.
Generates CRC hashes for strings - for use by node redis clients to determine key slots.
Javascript Redis protocol (RESP) parser
Redis storage adapter for Keyv
The Socket.IO Redis adapter, allowing to broadcast events between several Socket.IO servers
Redis commands
Info output parser for Redis
This library emulates ioredis by performing all operations in-memory.
Shared local/distributed lock to reduce redis load and `write()` syscalls.
A Redis store for the `express-rate-limit` middleware
Redis script manager for node.js
<div align="center"> <h1 align="center">@upstash/core-analytics</h1> <h5>Serverless Analytics for Redis</h5> </div>
Redis commands
Redis session store for Connect
Distributed mutex and semaphore based on Redis
Utility of loading/saving data structures from Redis
Provides load balancing of reads in a cluster of Redis replicas
Simple Redis CLI client with pry loaded
A library for loading and setting scripts into redis
Loads records from Redis.
Loads records from Redis Custom Restock Noti.
Instead of running your expensive queries for every page load, let cachedis store them in Redis and fetch them.
Allows for the serving of multiple Ember apps within one Rails app. The Ember apps index.html is loaded from Redis via ember-cli-rails-deploy-redis in production.
`qless` is meant to be a performant alternative to other queueing systems, with statistics collection, a browser interface, and strong guarantees about job losses. It's written as a collection of Lua scipts that are loaded into the Redis instance to be used, and then executed by the client library. As such, it's intended to be extremely easy to port to other languages, without sacrificing performance and not requiring a lot of logic replication between clients. Keep the Lua scripts updated, and your language-specific extension will also remain up to date.
Compatible with Resque 1.x. Use Resque.push if you are using >= 2.x. Resque is great. So is job processing with redis. Our biggest drawback has been that resque requires the class that will be processing a job to be loaded when the job is enqueued. But what happens when the implementing job is defined in a separate application and isn't currently loaded into memory? Enter Resque Remote. Resque Remote's simple goal is to allow you to add a job to a queue with a string identifier for the class rather than the class constant. It is assumed that the worker-side of the equation _will_ have the class in memory and hence will be able to run it no problem. Feedback, comments and questions are welcome at bj [dot] neilsen [at] gmail [dot] com.
Provides batch loading (MGET / pipeline) for Redis::Objects attributes on ActiveRecord models, following the same design as ActiveRecord's `preload`. Supports counter, value, list, set, sorted_set, and hash_key types.
`reqless` is meant to be a performant alternative to other queueing systems, with statistics collection, a browser interface, and strong guarantees about job losses. It's written as a collection of Lua scipts that are loaded into the Redis instance to be used, and then executed by the client library. As such, it's intended to be extremely easy to port to other languages, without sacrificing performance and not requiring a lot of logic replication between clients. Keep the Lua scripts updated, and your language-specific extension will also remain up to date.
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