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1–24 of 28 · Most stars

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC

Concurrency-safe Go caching library with expiration capabilities and access counters

  • hacktoberfest

:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!

An HTTP cache system, RFC compliant, compatible with @tyktechnologies, @traefik, @caddyserver, @go-chi, @bnkamalesh, @beego, @devfeel, @labstack, @gofiber, @go-goyave, @go-kratos, @gin-gonic, @roadrunner-server, @zalando, @zeromicro, @nginx and @apache

  • http-cache
  • traefik
  • souin-instance
  • traefik-plugin

A set of Rack middleware and cache helpers that implement various caching strategies.

In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.

Build real-time Blazor and MAUI apps while writing just 0.1% of the usual real-time update code. Handle 10× more API requests with the ActualLab.Rpc protocol—or 1000× more with Fusion’s transparent and perfectly coherent caching.