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.
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High performance cache framework for iOS.
Eloquent model-caching made easy.
A slick ORM cache with automatic granular event-driven invalidation.
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
Twitter Image Pipeline is a robust and performant image loading and caching framework for iOS clients
- image-pipeline
- ios
- swift
- objective-c
A powerful caching library for Elixir with support for transactions, fallbacks and expirations
- caching
- caching-library
- distributed-systems
- memory-cache
Asyncio cache manager for redis, memcached and memory
A caching library with advanced concurrency features designed to make I/O heavy applications robust and highly performant
- cache
- go
- golang
- performance
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
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
Quick development library (AutoMapper, LinQ, IOC Dependency Injection, MemoryCache, Scheduled tasks, Json and Yml Config and Options pattern, Serializers, etc) with crossplatform support for Delphi/Firemonkey (Windows,Linux,OSX/IOS/Android) and freepascal (Windows/Linux).
- delphi
- azure
- config
- json
The wise choice for Ruby memoization
- ruby
- memoization
- ruby-memoization
- benchmarks
An efficient multi-layered caching system for .NET
- redis-caching
- memory-cache
- caching-library
- caching
High performance, thread-safe in-memory caching primitives for .NET
- cache
- lru
- threadsafe
- dotnet
A Redis based, fully automated and scalable database cache layer for Laravel
high performance in-memory cache
- cache
- concurrency
- performance
Track is a thread safe cache write by Swift. Composed of DiskCache and MemoryCache which support LRU.
Pocache is a minimal cache package which focuses on a preemptive optimistic caching strategy
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.
7x-10x faster alternative to MemoryCache. A high-performance, lighweight (8KB dll) and thread-safe memory cache for .NET.
- cache
- dotnet
- performance
A method caching macro for elixir using CAS on ETS.
- elixir-lang
- memoize
- cache
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.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.