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1–24 of 37 · 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.

DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching.

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.

Near-zero config .NET library that makes advanced application features like Task Scheduling, Caching, Queuing, Event Broadcasting, and more a breeze!

☔️ A complete Go cache library that brings you multiple ways of managing your caches

  • go
  • golang
  • cache
  • memcache

An asynchronous, persistent key-value store for .NET desktop and mobile applications, backed by SQLite. Suited to both durable data such as user settings and cached data that expires, with optional encryption and System.Text.Json serialization.

  • c-sharp
  • cache
  • reactive-extensions
  • reactive-programming

CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.

A high-performance backend cache system. It is intended for use in speeding up dynamic web applications by alleviating database load. Well implemented, it can drops the database load to almost nothing, yielding faster page load times for users, better resource utilization. It is simple yet powerful.

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!

Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!

  • blazor
  • blazor-server
  • blazor-webassembly
  • realtime

A caching library with advanced concurrency features designed to make I/O heavy applications robust and highly performant

  • cache
  • go
  • golang
  • performance