thehardwarestore.ai

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── 99412 repos indexed ── | filtered by tag: #in-memory-cache
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jaredwray/cacheable ★ 2007 207 APPLICATION

This repository is a monorepo for the Cacheable ecosystem, providing a comprehensive suite of caching libraries for Node.js. It includes packages for in-memory caching (CacheableMemory, NodeCache), file-based caching (FlatCache, FileEntryCache), HTTP request caching (CacheableRequest, CacheableNet), and a multi-tier cache manager (cache-manager) used by NestJS. The core Cacheable class implements layered (L1/L2) caching with support for TTL, events, hooks, tag-based invalidation, non-blocking writes, and distributed synchronization via Qified/Redis. The architecture is modular, with each package designed to be used independently or composed together. The codebase is written in TypeScript with extensive test coverage (vitest), dual CJS/ESM builds, and uses modern tooling (biome, pnpm). It emphasizes production-readiness with features like stampede protection (coalesceAsync), per-store TTLs, and statistics tracking. The repository also includes a benchmark package comparing various caching implementations and a documentation website. While the API surface is large, the code demonstrates solid engineering practices and provides genuinely reusable components that solve recurring caching problems.

RATING: 9.4/10 MAINT: active DRIFT: low
#caching #nodejs #typescript #in-memory-cache #file-cache #http-caching #multi-tier #lru #keyv #redis-cache #monorepo #cache #redis #caching-library #http #wrapper #rfc-72 #key-value
▸ 4 reusable components found
allegro/bigcache ★ 8169 619 APPLICATION

BigCache is a high-performance, concurrent, evicting in-memory cache library for Go, designed to store large numbers of entries without impacting garbage collection. It achieves this by storing entries in byte slices and using a `map[uint64]uint64` (hash to index) that contains no pointers, thus avoiding GC scanning. The cache is sharded for concurrency, supports TTL-based eviction, a configurable cleanup goroutine, and optional hard memory limits. It provides a simple key-value API (Set, Get, Delete, Append) along with iteration, statistics, and per-key metadata. The repository also includes an optional standalone HTTP server that exposes a RESTful API for cache operations, making it suitable for deployment as a caching microservice. The codebase is well-tested with unit tests, benchmarks, and fuzz testing, and follows modern Go practices.

RATING: 9.0/10 MAINT: active DRIFT: low
#in-memory-cache #go-library #concurrent-cache #eviction-cache #gc-friendly #sharded-cache #http-server #bytes-queue #cache #performance #caching #golang-library #hacktoberfest
▸ 2 reusable components found
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