: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!
- caching
- memory-cache
- distributed-cache
- aspnetcore
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: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!
A caching library with advanced concurrency features designed to make I/O heavy applications robust and highly performant
Delightful on-disk cache (written in Swift)
Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input
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
ets based key/value cache with row level isolated writes and ttl support
GraphQL, built for Deno - a native GraphQL caching client and server module
High performance, thread-safe in-memory caching primitives for .NET
Redis cache library for Go
An RFC compliant and ESI capable HTTP cache for Nginx / OpenResty, backed by Redis
Memoize promise-returning & async functions
A set of Rack middleware and cache helpers that implement various caching strategies.
dogpile.cache is a Python caching API which provides a generic interface to caching backends of any variety
The repository host gives no description.
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.
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.
A Caching Library is written in Swift that can cache JSON, Image, Zip or AnyObject with expiry date/TTYL and force refresh.
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
Add a caching interface to Prisma, compatible with Memcached, Redis and Hazelcast.
Cache values in your Web Extension and clear them on expiration. Also includes a memoize-like API to cache any function results automatically
A thread safe map which has expiring key-value pairs.