Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
- golang
- go
- cache
- inmemory-cache
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Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
A slick ORM cache with automatic granular event-driven invalidation.
IdentityCache is a blob level caching solution to plug into Active Record. Don't #find, #fetch!
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!
Twitter Image Pipeline is a robust and performant image loading and caching framework for iOS clients
Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input
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GraphQL, built for Deno - a native GraphQL caching client and server module
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).
An efficient multi-layered caching system for .NET
A Redis based, fully automated and scalable database cache layer for Laravel
Embeddable and distributed in-memory alternative to Redis.
An RFC compliant and ESI capable HTTP cache for Nginx / OpenResty, backed by Redis
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.
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.
Eventually consistent distributed in-memory cache Go library
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
Cache slam defense using a semaphore to prevent dogpile effect.
High-performance Swift framework for task execution, memory caching, and data management with intelligent execution merging, TTL caching, and retry logic
Efficient, asynchronous batching and caching in clustered environments, port of Facebook DataLoader
Gocache is an in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. it is safe with concorent go routine access.