cashier VS pylibmc

Compare cashier vs pylibmc and see what are their differences.

pylibmc

A Python wrapper around the libmemcached interface from TangentOrg. (by lericson)
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cashier pylibmc
1 2
85 479
- -
0.0 4.6
10 months ago 7 months ago
Python C
BSD 2-clause "Simplified" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

cashier

Posts with mentions or reviews of cashier. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-10.
  • Rememberer package
    2 projects | /r/Python | 10 Feb 2023
    cashier offers persistent caching that can persist across executions if you use explicit file paths for the cache.

pylibmc

Posts with mentions or reviews of pylibmc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-11.

What are some alternatives?

When comparing cashier and pylibmc you can also consider the following projects:

django-viewlet - Render template parts with extended cache control.

DiskCache - Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

Beaker - WSGI middleware for sessions and caching

Cachier - Persistent, stale-free, local and cross-machine caching for Python functions.

johnny-cache - johnny cache django caching framework

django-cacheops - A slick ORM cache with automatic granular event-driven invalidation.

HermesCache

Zict - Useful Mutable Mappings

django-cache-machine - Automatic caching and invalidation for Django models through the ORM.

dogpile.cache