Oh man, I wish this was a bit more mature. I am writing a distributed image processing app right now with Celery, Flask, and SQLAlchemy, but I am finding it difficult to KISS. I was tempted to use Django but couldn't justify the overhead. If they get this cleaned up in the next year that would be awesome!
justify the overhead? But you are using flask and sqlalchemy? You made the wrong choice I would guess. Django does not have 'overhead' to justify in that scenario.
122370 django python=103934,javascript=18407,xml=29
2734 sqlparse python=2734
1110 asgiref python=1110
This will probably change when `django-tasks` gets merged in.Here's what installing `flask` + `sqlalchemy` pulls in:
141314 sqlalchemy python=141314
11464 werkzeug python=11159,javascript=305
8934 greenlet cpp=4993,python=2729,ansic=1092,asm=120
8606 jinja2 python=8606
5842 click python=5842
3907 flask python=3907
2036 top_dir python=2036
644 itsdangerous python=644
487 markupsafe ansic=278,python=209
349 blinker python=349
Looks like the same order of magnitude to me, which is surprising. I had always thought of `django` as being heavy weight and opinionated, while `flask` + `sqlalchemy` was light and modular.All numbers generated using David A. Wheeler's 'SLOCCount'. :-)