I understand you don't have a free trial, is there any chance you have a demo somewhere of what it actually looks like though? Like a tiny sample lesson or something along those lines? It looks interesting but I'm just uncertain as to what it actually "feels" like in practice vs lets say Brilliant, etc.
I only see pictures, I'm curious the extent of the interaction in the linear algebra/matrix calc specifically
You simply can't beat Django's ORM for general stuff. It's too awesome. This alone makes it so hard to choose anything else.
I know django doesn't have that "shiny factor" to it these days - but it's very reliable.
> mixed messaging on best practices for scalable apps
The WSGI stuff can be kinda confusing and is used across a lot of python frameworks including django and I think flask?
My advice for "simple scaling" is to start with a separate Postgres instance, and then use gunicorn. Use celery immediately if you have any "long lived" tasks such as email. If you containerize your web layer, you'll be able to easily scale with that.
Finally - use redis caching, and most importantly - put Nginx in front! DO NOT serve static content with django!
> the ecosystem feels overbloated with vapor ware extensions.
This still exists to some degree for some more niche stuff, largely because of it's age. Although impressively they'll generally still work or work with minimal modifications. It's popular enough and old enough that most normal things you'd want to do have decent extensions or built in support already.
I remember back when it came out it was a big deal that it could easily scale master-master nodes and the object format was a big thing because of Mongo back then.
That was before k8's wasn't a thing back then, and most of the failover for other databases wasn't a thing just yet. I'm too scared to use it because they have a community but they're obviously nowhere as active as the Postgres and other communities.
I only see pictures, I'm curious the extent of the interaction in the linear algebra/matrix calc specifically