|22 days ago||2 months ago|
|BSD 3-clause "New" or "Revised" License||BSD 3-clause "New" or "Revised" License|
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 Permission queries are the ones taking the longest to run. Is that normal?
1 project | reddit.com/r/django | 20 Oct 2021
Django 4.0 will include a built-in Redis cache back end
8 projects | news.ycombinator.com | 17 Sep 2021
Nuts, I was hoping that this was an evolution of https://github.com/Suor/django-cacheops which uses Redis to cache and invalidate ORM result sets by an abstracted representation of filter values. It works, but has a lot of magic (as is the Django way) and takes some tending-to in production.
2 projects | reddit.com/r/djangolearning | 14 Mar 2021
i came across this and this i am failing to understand what is the difference between the two and which is better.
Best way to implement direct messaging on my site?
1 project | reddit.com/r/django | 9 Mar 2021
The solution I recommend is setting up the caching backend using like redis then bringing in this awesome project django-cacheops! Takes 5 minutes to set up (literally) and you’re done!
Shooting yourself in a foot with django and recovering from it (speeding up the API 200x)
1 project | reddit.com/r/django | 20 Feb 2021
We use django cacheops with redis and its incredible!
We haven't tracked posts mentioning django-cache-machine yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
johnny-cache - johnny cache django caching framework
Beaker - WSGI middleware for sessions and caching
DiskCache - Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
cashier - Persistent caching for python functions
Cachier - Persistent, stale-free, local and cross-machine caching for Python functions.