bytewax VS django-unicorn

You can probably use Python to solve your problem, there are many ways you can speed up your deserialization/flattening. I work on Bytewax (https://github.com/bytewax/bytewax) and I wouldn't mention it if it wasn't a good fit, but I think it's worth looking at here. It is a stream processor that makes it easy to scale, maintain order, track progress, and you just write native Python.

Disclaimer: I work on Bytewax, but it feels like this could be a good fit and would save you some time looking around. If you need to do stateful operations (reduce, window, etc.) then you can use bytewax - https://github.com/bytewax/bytewax with pub/sub, but you would need to build a custom connector. There are some guides on how to do that - https://www.bytewax.io/blog/custom-input-connector.

This is great, definitely see the utility here. I have had to hack this together so many times while building streaming workflows with github.com/bytewax/bytewax and other tools.

When low latency matters you should always consider an ETL approach rather than ELT, e.g. collect data in Kafka and process using Kafka Streams/Flink in Java or Quix Streams/Bytewax in Python, then sink it to Snowflake where you can handle non-critical workloads (as is the case for 99% of BI/analytics). This way you can choose the right path for your data depending on how quickly it needs to be served.

Working on how to use https://github.com/bytewax/bytewax to create embeddings in real-time for ML use cases. I want to make a small library for embedding pipelines, but still learning about vector dbs and the tradeoffs between the different solutions.

Project looks cool! Glad you open sourced it. It could use some comments in the code base to help contributors ;). I also like the datafusion usage, that is awesome. BTW I work on github.com/bytewax/bytewax, which is based on https://github.com/TimelyDataflow/timely-dataflow another Rust dataflow computation engine.

Cool, nice idea. Can you sub in different backend like bytewax (https://github.com/bytewax/bytewax) for stateful processing?

If you want to keep in your Python/SQL area of expertise and by all means I don't mean to promote not learning a new language, but just as an FYI. There are some non-Java/Scala tools between streaming databases like risingwave and materialize, streaming platforms like fluvio and redpanda, and stream processors like bytewax and faust.

Then there are stack-specific libraries: StimulusReflex for Rails, Phoenix LiveView, Laravel Livewire, Unicorn and Tetra for Django, Blazor for .NET, … and the list goes on.

- you get one of the best ORMs in existence with great relationship handling and generated admins

https://www.django-unicorn.com/

Not 1.0 yet but I'm using it in production and omgosh is it easy to crank out UIs.

There's a brilliant project called Django Unicorn that aims to be the equivalent of Laravel Livewire for Django. You should take a look.

https://www.django-unicorn.com/

That and HTMX + Alpine.js are a strong combination.

(I also had a bash at building a similar tool for Django called Tetra but unfortunately haven't had the time needed to commit to it: https://www.tetraframework.com)

I think all LiveView frameworks should be part of this.

Here are two Python ones I've tried:

https://www.django-unicorn.com/

I'm biased since I created https://www.django-unicorn.com/, but I have a few thoughts. :)

Have you looked into Django Unicorn?

Check out https://www.django-unicorn.com/ it is like htmx but is closer to Django.

When I was exploring the space, django-unicorn looked interesting also. But HTMX got me so far, so easily, that I didn't give unicorn a fair shake.