django-cacheops VS funcy

Compare django-cacheops vs funcy and see what are their differences.

django-cacheops

A slick ORM cache with automatic granular event-driven invalidation. (by Suor)

funcy

A fancy and practical functional tools (by Suor)
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django-cacheops funcy
7 5
2,013 3,247
- -
5.2 5.5
17 days ago 6 days ago
Python Python
BSD 3-clause "New" or "Revised" 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.

django-cacheops

Posts with mentions or reviews of django-cacheops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-26.

funcy

Posts with mentions or reviews of funcy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-18.
  • Ask HN: How can I get better at writing production-level Python?
    9 projects | news.ycombinator.com | 18 Jul 2023
  • Ban 1+N in Django
    10 projects | news.ycombinator.com | 26 Mar 2023
    On an unrelated note, Python folks should check out OP's library funcy [1]: "A collection of fancy functional tools focused on practicality. Inspired by clojure, underscore and my own abstractions."

    Thanks for the library Suor!

    [1] https://github.com/Suor/funcy

  • What can you do in Haskell that you can't do in Python(for example)?
    3 projects | /r/haskell | 15 May 2021
    Functional semantics are available in Python, but IMO not that great. List, dict, and generator comprehensions allow you to perform most operations that you would use in a functional first programming language and there are third party libraries like toolz and funcy that implement some of the more advanced operations. The main issue I've found with using Python as a functional language is it doesn't support fluent syntax. With Scala you can do a relatively complex map/filter/reduce operation with syntactic ease list_of_ints.map(x => x*x).filter(x => x%2 ==0).reduce(x,y => x+y) With Python it's just clunky and less readable b/c of support of list comprehension syntax over fluent syntax. sum([x**2 for x in list_of_ints if x % 2 == 0]) A codebase with 5000 lines of the Scala style code will be much readable and maintainable than with the Python style code.
  • Toolz - A functional standard library for Python
    4 projects | /r/programming | 22 Jan 2021
    Also worse looking at: https://github.com/suor/funcy

What are some alternatives?

When comparing django-cacheops and funcy you can also consider the following projects:

Toolz - A functional standard library for Python.

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

dogpile.cache

fn.py - Functional programming in Python: implementation of missing features to enjoy FP

johnny-cache - johnny cache django caching framework

Beaker - WSGI middleware for sessions and caching

HermesCache

cachetools - Extensible memoizing collections and decorators

CyToolz - Cython implementation of Toolz: High performance functional utilities

Pyrsistent - Persistent/Immutable/Functional data structures for Python

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

django-redis - Full featured redis cache backend for Django.