In-memory LRU cache for abstract-chunk-store compliant stores
An in-memory LRU back-end for Keyv.
In memory lru cache
An in-memory LRU back-end for Keyv.
NDK In-Memory LRU Cache Adapter
Multi-layer caching with Redis and in-memory LRU cache. Supports tag-based invalidation, dynamic TTL, and local-only caching for optimal performance.
Layered caching infrastructure for NestJS with in-memory LRU+TTL+SWR and Redis-backed implementations.
Memoize Node.js style callback-last functions, using an in-memory LRU store
Simple disk memoization and in memory LRU cache for high latency IO responses
Distributed cache using Redis and in-memory LRU
An in-memory LRU back-end for Keyv.
An LRU cache of weak references
A cache object that deletes the least-recently-used items.
Simple “Least Recently Used” (LRU) cache
High Performance In-Memory Cache for Node.js
Simple “Least Recently Used” (LRU) cache
In-memory LRU cache with TTL, stale-while-revalidate, and tag invalidation
In memory lru cache
Finite key-value map using the Least Recently Used (LRU) algorithm where the most recently used objects are keept in the map while less recently used items are evicted to make room for new ones.
In-memory LRU cache adapter for Dismissible
OpenTelemetry instrumentation for `lru-memoizer` function memoization using lru-cache
An in-memory LRU cache with built-in statistics and proxy mode.
A cache object that deletes the least-recently-used items.
A fast, lightweight LRU (Least Recently Used) cache for JavaScript with O(1) operations and optional TTL support.
A lightweight, thread-safe in-memory LRU cache with TTL expiration and tag-based bulk invalidation for Ruby applications.
Thread safe implemenation of in-memory LRU cache compatible with Java Memory Model
Mudis is a fast, thread-safe, in-memory, sharded LRU cache for Ruby applications. Inspired by Redis, it provides value serialization, optional compression, per-key expiry, and metric tracking in a lightweight, dependency-free package.
A simple gem for in memory LRU cache
RSpec and Cucumber DSL that allows definition of processes with their arguments, working directory, time outs, port numbers etc. and start/stop them during test runs. Processes with same definitions can be pooled and reused between example runs to save time on startup/shutdown. Pooling supports limiting the number of running processes with LRU to limit memory used.
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