pellet VS django-cacheops

Simple middleware can warn you about lazy loading/N+1 queries. Most of the time people just forget it happens.

Try using: https://github.com/har777/pellet

Self plug: Checkout https://github.com/har777/pellet to easily find and fix django N+1 issues.

I usually add it to existing integration tests so that they raise exceptions on N+1. If test coverage is low then I would suggest sending the N+1 metrics to something like datadog. That way your users using the product will reveal all the N+1 issues on your monitoring solution.

Here is an example of such thing https://github.com/Suor/django-cacheops/blob/8b3a79de29b2545...

django-cacheops is a great package https://github.com/Suor/django-cacheops

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.

i came across this and this i am failing to understand what is the difference between the two and which is better.

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!

We use django cacheops with redis and its incredible!