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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

Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input

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

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

  • gossip-protocol
  • cache
  • lru-cache
  • in-memory-caching

Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output

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.

  • cache
  • gocache
  • golang
  • go-parallel-caching