kafkaml-anomaly-detection VS Faust

Hello everyone, I want to share with you a project I made for real time anomalies detection using kafka in python and scikit-learn, it has the generation of streaming data, the real time predictions and slack alerts, full code here

If you really want a "modern" language (I assume you just want Python based on your other comments), there's Robinhood's Faust, though it's been deprecated for a while. It'll still probably do what you want given your criteria, but it's not really suitable for long-term use given it hasn't been updated since October 2020.

Unfortunately Faust is dead, robinhood abandoned it 2020, there are no new commits and they don’t react to any questions etc..: https://github.com/robinhood/faust

I am trying to integrate Faust with Django to publish the messages to Kafka.Here is the example in Faust repo: https://github.com/robinhood/faust/tree/master/examples/django

The best bet seemed like the open source Faust (from Robinhood, and Celery in its lineage). It was too heavy duty for our simple needs and moreover it unfortunately seems abandoned. There is a community fork in a bit of disarray last i looked(tests failed etc.)

Vette IT ook. Tijdje open sollicitatie overwogen. Nerdgasm