47,133 repositories indexed
25–48 of 54 · Most stars
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
A powerful caching library for Elixir with support for transactions, fallbacks and expirations
Asyncio cache manager for redis, memcached and memory
An in-memory cache with item expiration and generics
A caching library with advanced concurrency features designed to make I/O heavy applications robust and highly performant
Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input
The place to keep your cache.
An implementation of HTTP Caching in .NET Core and 4.5.2+ for both the client and the server
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).
The wise choice for Ruby memoization
TranslatedDistributed Transactional In-Memory Database (the world's first MongoDB that supports distributed transactions)
Memoize promise-returning & async functions
A set of Rack middleware and cache helpers that implement various caching strategies.
Action caching for Action Pack (removed from core in Rails 4.0)
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.
A Caching Library is written in Swift that can cache JSON, Image, Zip or AnyObject with expiry date/TTYL and force refresh.
A thin PSR-6 cache wrapper with a generic interface to various caching backends emphasising cache tagging and indexing.
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
High-performance Swift framework for task execution, memory caching, and data management with intelligent execution merging, TTL caching, and retry logic
Cache values in your Web Extension and clear them on expiration. Also includes a memoize-like API to cache any function results automatically
Memoize promise-returning functions. Includes cache expire and prefetch.
A key/value store where pairs can expire after a specified interval