reactor VS Ruby on Rails

I'd love to see this approach make more headway in the Django community. Based on the last DjangoCon it seems like the community is coalescing around HTMX.

This tool does play very nicely with Django's templating engine; you can just have HTMX re-render a particular template block on the server, and send down that updated block. The migration path is quite clean; you just wrap your "HTMX-updated" template block in a `hx-post` div.

Having not gone too deep on HTMX, I'm interested in folks' thoughts on where it's lacking vs. LiveView and Hotwire. One area I can see is performance; Elixir is going to be faster than Django, and so if you're trying to handle high session counts over websockets. But the impression I get is that HTMX is a bit more light-weight, so I'm wondering if there's usecases that can't be met with it vs. LiveView.

Other Django libraries that haven't quite seen as much uptake:

We have https://github.com/edelvalle/reactor, and a port of Hotwire: https://github.com/hotwire-django but both of these don't seem to have much adoption (yet!).

Thank you for posting those, I wanted to post them but I don't comment often (). Wanted to chip in another contemporary: edelvalle/reactor, which is inspired by LiveView[0].

[0]: https://github.com/edelvalle/reactor

I am using Hotwire for a project, and I'm learning Elixir and Phoenix on the side. Finding edelvalle/reactor was immediately helpful to me though, because I cut my teeth on Python/Django, so reading a Python reference implementation helps me learn nuts and bolts of libraries, faster. (so, I figure that this might help someone else grok how these approaches work.)

If this sounds like a barebones version of notable frameworks like Elixir's Phoenix LiveView, Rails's StimulusReflex or Hotwire Turbo, PHP's LiveWire, Django's Reactor... well, you're right! (Bonus: my colleague @jgaskins built a LiveView clone for Crystal)

Reactor

Reactor is a LiveView library for Django. It enables you to do something similar to Phoenix LiveView using Django Channels.

It looks a bit similar to Elixir Live View. Or similar in Django https://github.com/edelvalle/reactor, there are a couple of libraries.

Django does: https://github.com/edelvalle/reactor

[0] is a my favorite demonstration of it.

[0]: https://github.com/rails/rails/commit/b83965785db1eec019edf1...

Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily learn more about how, when and by whom features were implemented as well as how this implementation came to be.

Ruby on Rails is regarded as one of the best ruby frameworks. It was the primary language in developing big projects such as Twitter and helped the language boost the community. Often referred to as “Rails,” Ruby on Rails is a web development framework with an MVC control structure and currently running its 6.1 version. The 16-year-old language has dramatically influenced the web development structures and managing databases, web pages, and other components on a web application.

In Rails 7.1, a new option _instance_methods is introduced, allowing developers to opt-out of the automatic generation of instance methods for enums. When enum is defined with _instance_methods: false, Rails will no longer generate methods like pending?, processed?, etc.

Rails isn't super opinionated about database writes, its mostly left up to developers to discover that for relational DBs you do not want to be doing a bunch of small writes all at once.

That said it specifically has tools to address this that started appearing a few years ago https://github.com/rails/rails/pull/35077

The way my team handles it is to stick Kafka in between whats generating the records (for us, a bunch of web scraping workers) and and a consumer that pulls off the Kafka queue and runs an insert when its internal buffer reaches around 50k rows.

Rails is also looking to add some more direct background type work with https://github.com/basecamp/solid_queue but this is still very new - most larger Rails shops are going to be running a second system and a gem called Sidekiq that pulls jobs out of Redis.

I'm looking forward to see what extractions from this will land on rails. For example: https://github.com/rails/rails/issues/50454

Here is what strict_loading does (source):

Kamal is a wonderfully simple way to deploy your applications anywhere. It will also be included by default in Rails 8. Kamal is trivial, but I don’t recommend using it on your development machine.

Here's the GitHub milestone I've based this article on — https://github.com/rails/rails/milestone/87