Master Python Caching with Cacheout: Features, Quick Start, and Advanced Usage

Python cache library (cacheout)

Links:

Project: https://github.com/dgilland/cacheout

Documentation: https://cacheout.readthedocs.io

PyPI: https://pypi.python.org/pypi/cacheout/

Travis CI: https://travis-ci.org/dgilland/cacheout

Features:

Backend uses a dictionary for caching

Cache manager allows easy access to multiple cache objects

Runtime cache settings can be reconfigured when using module‑level cache objects

Maximum cache size limit

Default TTL and per‑item custom TTL

Batch set, get, delete operations

Thread‑safe

Multiple eviction policies:

FIFO (first‑in‑first‑out)

LIFO (last‑in‑first‑out)

LRU (least‑recently‑used)

MRU (most‑recently‑used)

LFU (least‑frequency‑used)

RR (random replacement)

Roadmap:

Hierarchical (multi‑level) caching

Support for cache event listeners

Standard representation when retrieving cache objects

Callback handling for missing cache objects

Cache statistics

Requirements:

Python >= 3.4

Quick start:

Install the package:

Create a cache object to begin:

Default cache size is 256 and TTL is disabled; these can be configured:

Set a value: cache.set(key, value) Get a value: cache.get(key) Set per‑item TTL:

Cache function results:

Provide TTL for cached functions:

Invalidate a cached function:

Copy mechanism:

Delete a key:

Clear the entire cache:

Batch methods for get, set, delete:

Reset an initialized cache object:

Retrieve all keys, values, items: cache.keys(), cache.values(),

cache.items()

Iterate over keys:

Check if a key exists: cache.has(key) or

key in cache

Manage multiple caches with CacheManager:

For more details, see the full documentation.