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The biggest difference is python vs ruby. Python’s ecosystem is massive, so if you want to pull in any third party libs you have plenty of choices for whatever

by WD-42 2y ago

The biggest difference is python vs ruby. Python’s ecosystem is massive, so if you want to pull in any third party libs you have plenty of choices for whatever you may need. Django also has auth and the admin interface built in, both of which are very nice.

tyre 2y ago
Ruby and rails’ ecosystems are also massive. Devise and ActiveAdmin are options for those two, though I haven’t used either in years. With much of the AI development happening in python and typescript, you might be right about those areas.
- WD-42 2y ago
  RoR's ecosystem is indeed massive - for web apps. But if you want to make an app that integrates with an existing domain, Python is just so far ahead. Numpy, SciPy, Pandas, basically the entire field of astronomy and biology, data science and FinTech... the list goes on. But if you are sticking to basic web/database stuff it's hard to go wrong with RoR.
  - theonething 2y ago
    a best of both worlds solution might be to have a Rails web app and Python services. Of course if you like Django/Python better anyway, then just use those.
  - wmoxam 2y ago
    All of that extra stuff can still use Python and integrate easily with an RoR app. Typically your astronomy/biology/ata science stuff isn't needed in the context of a request and is done asynchronously
    - WD-42 2y ago
      This is just not true. I’ve worked with many scientists, none of them want some complicated micro service architecture they have to deal with. They just want a page that displays their data or whatever, and that means using Django or flask and using whatever library they write directly. Most people haven’t even heard of ruby.
      - wmoxam 2y ago
        Ok
realusername 2y ago
Python might be bigger outside of the web but for any Web app, Rails wins hands down on the amount of battery included software that exists in my opinion. I've done both and I find that in Django I had to resort to more manual steps than what I'd do in Rails. The testing story is also better in Rails compared to Django, that's not even close.

by WD-42 2y ago

tyre 2y ago

Ruby and rails’ ecosystems are also massive. Devise and ActiveAdmin are options for those two, though I haven’t used either in years. With much of the AI development happening in python and typescript, you might be right about those areas.

WD-42 2y ago
RoR's ecosystem is indeed massive - for web apps. But if you want to make an app that integrates with an existing domain, Python is just so far ahead. Numpy, SciPy, Pandas, basically the entire field of astronomy and biology, data science and FinTech... the list goes on. But if you are sticking to basic web/database stuff it's hard to go wrong with RoR.
- theonething 2y ago
  a best of both worlds solution might be to have a Rails web app and Python services. Of course if you like Django/Python better anyway, then just use those.
- wmoxam 2y ago
  All of that extra stuff can still use Python and integrate easily with an RoR app. Typically your astronomy/biology/ata science stuff isn't needed in the context of a request and is done asynchronously
  - WD-42 2y ago
    This is just not true. I’ve worked with many scientists, none of them want some complicated micro service architecture they have to deal with. They just want a page that displays their data or whatever, and that means using Django or flask and using whatever library they write directly. Most people haven’t even heard of ruby.
    - wmoxam 2y ago
      Ok

realusername 2y ago

Python might be bigger outside of the web but for any Web app, Rails wins hands down on the amount of battery included software that exists in my opinion. I've done both and I find that in Django I had to resort to more manual steps than what I'd do in Rails. The testing story is also better in Rails compared to Django, that's not even close.