compare.

Honest, side-by-side comparisons of @humanspeak/memory-cache against the caching libraries you’d consider instead — node-cache, lru-cache, and Keyv. Feature matrices, pros / cons, verdicts. No spin.

get started ↗examples

FIG-001

SHEET 01 / 02

FIG-002 / COMPARISONS

pick a head-to-head.

Each page is a feature matrix, strengths, limitations, and an honest verdict.

№ 01 / 03

↗

vs node-cache.

In-Memory TTL Cache

The Classic TTL Cache vs a Modern TypeScript Rewrite

№ 02 / 03

↗

vs lru-cache.

LRU Cache

The Canonical LRU vs a Batteries-Included Cache

№ 03 / 03

↗

vs keyv.

Multi-Backend Key-Value Store

A Multi-Backend Store vs an In-Process Cache

SET / JETBRAINS MONO + INTER

HUMANSPEAK · 2026

MIT LICENCE

try memory
cache → install in 30 seconds

SHEET 02 / 02

END OF INDEX

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