ctl VS io-ts

Well, I do like mine better, which is closer to the STL, and for all containers. https://github.com/rurban/ctl/

search for htable or hashtable in thousands of open source projects. only a minority has worse hashtables than this one (clisp, perl5 e.g.).

For better ones I would point to my linked list implementation: https://github.com/rurban/ctl/blob/master/ctl/unordered_set.... (because it has various security policies, nobody else has)

C Container Template Library, Rurban Variant (CTL) - The page for unordered_map reads "Implementation in work still".

There is also the rurban variant variant of CTL which is more complete.

The prototype of CC used this mechanism to provide a generic API for types instantiated via templates (so basically like other container libraries, but with an extendible-_Generic-based API laid over the top of the generated types). This approach has some significant advantages over the approach CC now uses, but I got a bit obsessed with eliminating the need to manually instantiate templates.

But the most common that I know of is this one: https://github.com/tylov/STC. There's also this one mentioned above https://rurban.github.io/ctl/

I'm also working on a proper one, but got sidetracked. https://github.com/rurban/ctl/blob/hmap/ctl/swisstable.h

Qué rico. Si tenés chance meté un proceso de code review fuerte, y para el tema de I/O probá a usar https://github.com/Effect-TS/schema ó https://github.com/gcanti/io-ts que les da una solución obvia al tema de "tipos para lo que devuelva el backend", aunque es en realidad mucho más capaz que eso.

My fave is still io-ts (https://github.com/gcanti/io-ts/blob/master/docs/index.md) as I find it more flexible than zod at the ingress. The author is also working on the Effect ecosystem which also looks interesting.

I’ve been using io-ts for this and been very happy with it. [1] It’s similar to Swift’s Coding protocol in case you’re familiar.

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

Yeah, there are a few new concepts and it's not the easiest to pick up right away. The best introduction is here on the main documentation page.

We use https://github.com/gcanti/io-ts/blob/master/Decoder.md which has a very similar interface. It can even be used to mutate the data using https://github.com/gcanti/io-ts/blob/master/Decoder.md#the-parse-combinator.

A good way to significantly improve the reliability of your app is via improving type-safety by moving away from using any to unknown. One relevant example could be when you type your backend responses and when stringifying JSON to using unknown combined with some sort of runtime type checking. It can be done either by using built-in functionality like type guards or using an external library like io-ts, zod or yup.

Usage of TypeBox is similar with io-ts and zod, but it is much powerful and faster than them. Also, TypeBox can generate JSON schema very easily. Therefore, if you're looking for a validator library for new project and not suffering from legacy codes, I think TypeBox would be much better choice than io-ts and zod. TypeBox can totally replace them.

This check can be done with different libraries like: io-ts, typebox, or zod. These libraries allow you to create objects that represent your typescript definitions. Then, these objects can be used at runtime to validate the received data, in addition, you can also convert this object to a Typescript definition to have all the benefits of using typescript. These objects can be called schema validations because they are responsible for the data validation.