funcy VS haxl

On an unrelated note, Python folks should check out OP's library funcy [1]: "A collection of fancy functional tools focused on practicality. Inspired by clojure, underscore and my own abstractions."

Thanks for the library Suor!

[1] https://github.com/Suor/funcy

Functional semantics are available in Python, but IMO not that great. List, dict, and generator comprehensions allow you to perform most operations that you would use in a functional first programming language and there are third party libraries like toolz and funcy that implement some of the more advanced operations. The main issue I've found with using Python as a functional language is it doesn't support fluent syntax. With Scala you can do a relatively complex map/filter/reduce operation with syntactic ease list_of_ints.map(x => x*x).filter(x => x%2 ==0).reduce(x,y => x+y) With Python it's just clunky and less readable b/c of support of list comprehension syntax over fluent syntax. sum([x**2 for x in list_of_ints if x % 2 == 0]) A codebase with 5000 lines of the Scala style code will be much readable and maintainable than with the Python style code.

Also worse looking at: https://github.com/suor/funcy

Sounds a bit like Haxl. From this page:

+1. The JS event loop auto-monad-izing Promises into Haxl [1]-esqe trees of implicitly-batched loads has been a big win for us building on JavaScript/TypeScript.

If I had to move to another language, I'd really want to find a "powered by the event loop / dataloader" framework, i.e. Vert.x for Java.

Also, per dataloader, a shameless plug for our ORM that has dataloader de-N+1-ing built natively into all object graph traversals:

https://joist-orm.io/docs/goals/avoiding-n-plus-1s

[1]: https://github.com/facebook/Haxl

and Haxl

Haxl, a framework for efficient and concise data fetching.

You mean, Haxl? [1] But AFAIK only a few devs are involved for the development.

[1] https://github.com/facebook/Haxl

Probably, the most googled and well-known example of Haskell application in major companies is the Facebook Meta spam filters. Messages containing spam, links to potential malware and phishing attacks are filtered by Sigma, the system that was rewritten in Haskell in 2015. The choice of language was based, among other things, on performance requirements, the need for pure functions and static typing, as well as the possibility of interactive development. The Haxl framework is used under the bonnet, which the company has open-sourced. You can find more details about the development process and technical aspects in the company’s blog post.

Their GitHub still seems pretty active https://github.com/facebook/Haxl

Since you mention Any real-world application uses a database or seventeen in the backend, it's probably worth checking out https://github.com/facebook/Haxl as its goal is to allow you to write high-level queries in Haskell and have the library call out to different datasources as efficiently as possible.