fp-ts VS zod

I think it’s great that functional programming is making its way into traditional imperative languages - even JavaScript (I recently came across https://gcanti.github.io/fp-ts/ as a pretty extreme example)

Elixir/Erlang has function-level pattern matching, which I really like. I’ve yet to see it anywhere else, though my understanding is it came from Prolog.

While I certainly agree, I've found that this is often an indication of too-complex an architecture, and a fundamental re-think being necessary. I've had projects that depend on [fp-ts], which end up incredibly generic-heavy, but still make it entirely through a typecheck(not build- typescript's just worse at that than other tools like esbuild) in seconds-at-worse.

Obviously depends on your organization/project/application, but I do like these things as complexity-smells.

[fp-ts]: https://gcanti.github.io/fp-ts/

Unlike more comprehensive functional libraries like fp-ts, each module can be imported and resolved separately. If you just need options, simply add the option module and you're good to go.

While it's quite abstract, I believe it may be useful to those of you who is interested to learn more about functional programming [in Typescript] and also get more intuition on diverse programming ideas. I use fp-ts as a functional programming library there.

The library for TypeScript that this is influenced by is here:

https://github.com/gcanti/fp-ts

Interesting how both languages with this library converge to a similar syntax, due to heavy use of functions.

Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.

fp-ts, a library that caters to functional programming in TypeScript, comes with some micro-abstractions that already solve a few of our needs.

Also, don't underestimate how powerful TypeScript can be in capable hands (namely Giulio Canti's). Check out fp-ts, for instance.

You are able to type it using function overloads, an example can be found here - link, line 236.

looks like more ergonomic/focused version of fp-ts[1]

[1] https://gcanti.github.io/fp-ts/

Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of "parse, don't validate." It supports coercion in all primitive types.

Link: https://zod.dev/

You can check out their documentation here.

You can learn more about Zod on their website here.

In JS, it's a good idea anyway to use some JSON parsing library instead of JSON.parse.

With Zod, you can use z.bigint() parser. If you take the "parse any JSON" snippet https://zod.dev/?id=json-type and change z.number() to z.bigint(), it should do what you are looking for.

We will validate our input using client-side zod. Zod handles TypeScript-first schema validation with static type inference. This means that it will not only validate your fields, it will also set types on validated fields.

A word of warning: while discriminated unions are very powerful, there's an ongoing discussion on whether discriminated unions should be deprecated and replaced with a different API.

I was first introduced to Zod by Adam Bobrow - a colleague of mine and a dear friend. Adam was sick and tired from JavaScript's brittleness, and about two years ago he started migrating our code base to TypeScript. But that wasn't enough for him. He kept complaining: "What good are my types, if some other service decides to send me bad data and breaks my code?". That's when he discovered Zod.

It is (or should be) common practice to parse/validate any external data you depend on. You should be doing this for Javascript too. I find that the library https://zod.dev/ is quite helpful for this

Astro uses Zod, a Typescript-first schema validation library, to type-check the collections' schemas. It helps validate data types when using collections inside UI components.