Flask for learning from the ground up. Django after coming to the realization that large Flask projects end up cobbling together 80% of what Django offers, usually poorly.
Sort-of true on your second point. Flask gives you more room to organize the project how you want: if you don't have experience doing this then yeah, you'll make a mess. However, with experience comes more power. You aren't forced into doing things the "Flask way" because there is no "Flask way."
I think you're generalizing a little too much here. For something like an e-commerce shop, I'd agree. But for something truly custom, I find myself overriding a lot of Django's built-in functionality.
It depends on the application. Do you care about how things work inside your database? Do you want to understand how the subsystems of your app (like authentication, security, the API, etc) work? Flask allows you (and forces you) to make your choices explicit. Django makes the decisions for you and hides its workings under layers of abstraction.
I can see using Django to rapidly prototype some kind of CRUD app, but on the other hand, you could just use Wordpress for that. Flask seems like it would be a superior platform for engineering anything non-trivial, especially if you care about how it works.
> I can see using Django to rapidly prototype some kind of CRUD app, but on the other hand, you could just use Wordpress for that. Flask seems like it would be a superior platform for engineering anything non-trivial, especially if you care about how it works.
I feel like I'm replying a lot in this thread!
I think it's the other way around. If you want to QUICKLY prototype something, use Flask: it's light weight, and your app will _literally_ be one hundred-line file + some templates.
If you know you're going to use much of the common Django tools, use Django. Django projects are usually harder to spin up in my experience.
I wouldn't relate Django to Wordpress at all. It'd be tough to get a Wordpress type platform from scratch in Django OR Flask.
I teach these subjects in a local university to BSc and MSc students, and since I want them to learn fast and lots of functionalities regarding web dev, I go directly to Django (after teaching them basic http with python and sockets - like this: http://joaoventura.net/blog/2017/python-webserver/).
You can get pretty far with Flask. You'll need an ORM, so you'll likely chuck SQLAlchemy in. Then you'll want easier access to SQLAlchemy, sorta like, you know, django does it, so you pick up https://github.com/mitsuhiko/flask-sqlalchemy.
You'll fork it or brew your own code to get declarative models working right. Kinda time consuming, but at least your models can be pulled in by any python code, and aren't tied down to a framework (That's what you were avoiding from the first place, wasn't it?)
Django rest framework, DRF for short (http://www.django-rest-framework.org/), which is very mature at this stage, runs circles around Flask API. Flask API is inspired by DRF. You could also try https://flask-restful.readthedocs.io, but after all that, you'll be missing that tight model support.
You'll love flask. The code is top tier and exemplary. The testsuites are a dream and are very clear. Documentation is awesome. It feels good to code in it. But django feels good to code in as well.
Django's ORM is very mature. It's easier than SQLAlchemy, and despite SQLAlchemy's purity, and documentation - even better than flask's - Django's ORM does the trick for pretty much anything, even foreign databases I've interacted with. Another thing, QuerySet's are a charm, a lot of django's addons like django-filters, django-rest-framework and django-tables2 are built on top of its versatility.
Again, I love flask, but when I realized that I'm just going to end up reinventing django with my flask app anyway, I started going with django on new projects. I haven't turned back, but still check out flask and sqlalchemy to see what's happening now and then.
I think the first objection one would raise is that you don't need an ORM at all. It all depends on the application, of course, but ORM means giving up a lot of control (and transparency, and understanding) of your database in exchange for a few shortcuts regarding things like M:M links.
You don't need an ORM to do either of those things, but it makes things a hell of a lot more organized. Makes the database easy to understand from your code. Makes things like "testing from a blank database" really nice.
You don't ever _need_ an ORM, but for 90% of projects you'll use Flask and a Database for, it makes your life a lot nicer.
I actually wrote a blog post about my experimentation with ORM (here: https://joeclark.svbtle.com/understanding-the-m-in-mvc). From the viewpoint of a database geek, somebody who cares about his database, those gadgets you linked are further reasons to dislike ORM, because they do more of what ORM does: take away transparency and control in exchange for "shortcuts". And what happens when those tools fail? ("migrate" is particularly screwy).
No, it's a matter of philosophy. The newbie who has learned to code without ever being taught SQL, and the employee of an "agile" app sweatshop who doesn't care about the quality of his code or data, may prefer ORM for its' quick-and-dirtiness, or may use it by default because he knows no better way. I'm not saying that's wrong, but, there are other philosophies. There is the whole "craftsmanship" idea out there, that we should actually care about making things well. Jobs and Wozniak for example supposedly were adamant that the insides of Apple computers were designed well. If you care about your database and want to use special features like triggers, procedures, recursive queries in Postgres, etc., then ORM is about as helpful as clamshell packaging.
This is a good point, but it can definitely be applied to any abstraction. I don't think ORMs are the best use of abstraction, but I think they're far from the worst use. For most applications they let you do a lot more a lot quicker without knowing a lot of SQL.
> And what happens when those tools fail?
I haven't used any of these tools that don't let me fall back on raw SQL or writing my own migration in SQL and including it in my code (outside of the DB). So, I haven't had this problem, honestly! Most DB problems I've had are related to _design_. There is an argument there to be had: "Do ORMs encourage bad database design?" but it's a different topic, in my opinion.
> There is the whole "craftsmanship" idea out there, that we should actually care about making things well.
Making a website is a completely different process than making a chair, or remodeling a kitchen, or designing hardware for a computer.
I absolutely make technology that is great, and I do take pride in my work, but if I didn't use an ORM it'd take me much longer to make: and the application would be much less maintainable.
> If you care about your database and want to use special features like triggers, procedures, recursive queries in Postgres, etc., then ORM is about as helpful as clamshell packaging.
I use all these things all the time. I've created migrations in Django to create my Postgres FTS trigger function. Now all these raw-SQL migrations are stored very nicely in their own space, and in version control. And it's just like I typed them into the SQL prompt: but I can just look in my codebase and see what I did :)
You can'd even do sub-selects nicely in Django ORM, forget recursive queries. But you can use raw SQL when you need it!
And I used to think like that. As if I was giving up potential. So I went through this SQLAlchemy core phase (http://docs.sqlalchemy.org/en/latest/core/tutorial.html). Though, never back to writing raw SQL, but I did some of that back in 2002-2003. And despite being challenged by colleagues skeptical of ORM's, I've yet to see a shortcoming for using an ORM in web development frameworks in python.
In fact I'm coming short on a value equation where it'd be more secure / efficient / readable without at least a query builder.
> of your database in exchange for a few shortcuts regarding things like M:M links.
Maybe a few other benefits: helps with readability, consistent with OOP in python. Works across SQL dialects. Prevents mistakes, since those relationships are common. Getting clear and consistent access to common data retrieval and updating.
Your problem is SQLAlchemy in all of these, not Flask. Use a different ORM for Flask.
> Django rest framework, DRF for short (http://www.django-rest-framework.org/), which is very mature at this stage, runs circles around Flask API. Flask API is inspired by DRF.
I use both and enjoy both, but Flask API is _much_ better designed than DRF. Go look over the source for both.
So yeah, Flask is much smaller than Django: but that's a good thing _for some projects_ like you've said. If you want Django manage.py, Django's ORM, DRF, and debug toolbar, then use Django!
I'm starting a project which will have a React Native app part, and I don't know if I should go with Django, Laravel or DRF on the backend... It will also need a web part. The database will be Postgres.
My last project I did in Go and felt like too much "stupid" typing, even though I understand the reasons things are that way, and I love the tooling around it, it feels kinda verbose for websites..
-- edit --
One of my doubts with Django is that I'm not sure my SQL will translate well into a "model".
You'll learn more starting with Flask because it provides less layers and components (and a far smaller codebase). Eventually you'll build up several of the pieces yourself or combine various libraries and eventually realize it would be much simpler to rewrite in Django. At least that's how it's worked out over the past few years for me on anything over 100 lines or so.
I'm also a noob. To hack together a quick app to hit a few of the instagram endpoints I went with flask. In my case, it was just a matter of writing a few annotated methods, and plugging in some template files and I was up and running in a few hours!
I'm now looking at SQL alchemy and thinking I might try to taking another look at Django...
Django - but my advice is not to start from two scoops - its a great book but your best bet is to work off the djangoproject, or djangogirls tutorials as thats the common project structure. once you have a handle on this start reading two scoops