remeda VS refute

Personally I just don't think Ramda fits really well with JavaScript's mutable and often object-oriented nature. It goes against the grain too much for my taste, and it doesn't work very well with Typescript.

In a professional setting I will probably always reach for Lodash due to it's maturity and mindshare. Personally, though, I really prefer Remeda (https://github.com/remeda/remeda) as a pragmatic and flexible API.

Remeda's pipe implementation

I saw this trending a few days ago: https://github.com/remeda/remeda

Also heard that Remeda is better for TS.

Remeda - a utility library that provides a set of functions that will help us deal with strings, objects and arrays

The good news is: Not all is lost. The messages are still there if you take a look at the commits of the PR. It's just a little harder to backtrack. Here is one example of a commit I made that has tons of information (even with a link!) that got squashed away.

I find straight forward, dedicated combinators much more readable and practical to use ie. for iterables (context where it makes a lot of sense) [0] example [1], runtime assertions (through refutations, which are much faster than combinators over assertions) [2], parser combinators for smallish grammars [3] etc.

In many cases vanilla/imperative js is more readable and terse, no need to bring functional fanaticism everywhere, just in places where it gives true benefits and in form that can be understood by peers.

Functional code can be beautiful and can also be unreadable/undebugable. Same with imperative code. It's great in js/ts you can pick approach where the problem is expressed more naturally and mix it at will.

[0] https://github.com/preludejs/generator

[1] https://observablehq.com/@mirek/project-euler

[2] https://github.com/preludejs/refute

[3] https://github.com/preludejs/parser

We use jsonrpc over websockets in production for many years in trading services. It works very well. We use lightweight libraries that look like this [0] and this [1]. It's lightweight, fast, type safe, easy to maintain and debug etc.

[0] https://github.com/preludejs/jsonrpc

[1] https://github.com/preludejs/refute

Types can be asserted at runtime (parsed) at IO boundaries (reading http request or response, websocket message, parsing json file etc). Once they enter statically type system they don't need to be asserted again.

The difference it makes is illusion of type-safety vs type-safety this article touches on.

You can try to bind service with client somehow but in many cases this will fail in production as you can't guarantee paired versioning, due to normal situations by design of your architecture or temporary mid-deployment state or other team doing something they were not suppose to do etc. It's hard to avoid runtime parsing in general.

Functional combinators [0] or faster [1] with predicate/assert semantics work very well with typescript, which is very pleasant language to work with.

[0] https://github.com/appliedblockchain/assert-combinators

[1] https://github.com/preludejs/refute