Faust VS Ray

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

22. Ray | Github | tutorial

Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...

Here's a reference from RLlib that points to docs and an example, and here's one from one of my projects that includes all my own implementations

RLlib

⦿ AWS Glue Data Quality - Automatic data quality rule recommendations based on your data AWS Glue for Ray - Data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads

https://ray.io (just dropping the link)

I've wondered whether it's easier to add data analyst stuff to Elixir that Python seems to have, or add features to Python that Erlang (and by extension Elixir) provides out of the box.

By what I can see, if you want multiprocessing on Python in an easier way (let's say running async), you have to use something like ray core[0], then if you want multiple machines you need redis(?). Elixir/Erlang supports this out of the box.

Explorer[1] is an interesting approach, where it uses Rust via Rustler (Elixir library to call Rust code) and uses Polars as its dataframe library. I think Rustler needs to be reworked for this usecase, as it can be slow to return data. I made initial improvements which drastically improves encoding (https://github.com/elixir-nx/explorer/pull/282 and https://github.com/elixir-nx/explorer/pull/286, tldr 20+ seconds down to 3).

[0] https://github.com/ray-project/ray

Adding these for anyone who had a similar question about Ray vs dask 1, 2, 3