tkem/cachetools

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2776 stars · 204 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library providing extensible memoizing collections and decorators, including cache classes like LRUCache and TTLCache with pluggable eviction policies. It offers a @cached decorator as a drop-in alternative to functools.lru_cache with more cache algorithm options.

Use cases

• memoize expensive function calls in python
• cache with ttl expiration
• lru cache with max size for python functions
• speed up recursive functions with dynamic programming
• cache api responses for a limited time
• custom cache eviction policies

When to choose

• you need in-process memoization with configurable eviction policies like LRU, TTL, or LFU
• you want a more flexible alternative to functools.lru_cache
• you need bounded mutable mappings that act as caches

When to avoid

• you need a distributed or shared cache across processes - use Redis or Memcached instead
• you need async function caching out of the box - cachetools is synchronous (see asyncache)
• you need persistent caching across restarts

Facets

library · maturity stable

caching developer-tools developer-tools performance python cross-platform memoization lru-cache ttl-cache decorators in-memory-cache python

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tkem/cachetools")