zod VS Yup

[Zod Documentation](https://zod.dev/) [Zod Error Handling](https://zod.dev/ERROR_HANDLING?id=error-handling-in-zod) [React-Hook-Form Documentation](https://react-hook-form.com/get-started) [Hookform Resolvers](https://www.npmjs.com/package/@hookform/resolvers)

This is a very fair comment, and you seem open to understanding why types are useful.

"problems that are due to typing" is a very difficult thing to unpack because types can mean _so_ many things.

Static types are absolutely useless (and, really, a net negative) if you're not using them well.

Types don't help if you don't spend the time modeling with the type system. You can use the type system to your advantage to prevent invalid states from being represented _at all_.

As an example, consider a music player that keeps track of the current song and the current position in the song.

If you model this naively you might do something like: https://gist.github.com/shepherdjerred/d0f57c99bfd69cf9eada4...

In the example above you _are_ using types. It might not be obvious that some of these issues can be solved with stronger types, that is, you might say that "You rarely see problems that are due to typing".

Here's an example where the type system can give you a lot more safety: https://gist.github.com/shepherdjerred/0976bc9d86f0a19a75757...

You'll notice that this kind of safety is pretty limited. If you're going to write a music app, you'll probably need API calls, local storage, URL routes, etc.

TypeScript's typechecking ends at the "boundaries" of the type system, e.g. it cannot automatically typecheck your fetch or localStorage calls return the correct types. If you're casting, you're bypassing the type systems and making it worthless. Runtime type checking libraries like Zod [0] can take care of this for you and are able to typecheck at the boundaries of your app so that the type system can work _extremely_ well.

[0]: https://zod.dev/ note: I mentioned Zod because I like it. There are _many_ similar libraries.

Zod is an open-source schema declaration and validation library that emphasizes TypeScript. It can refer to any data type, from simple to complex. Zod eliminates duplicative type declarations by inferring static TypeScript types and allows easy composition of complex data structures from simpler ones. It has no dependencies, is compatible with Node.js and modern browsers, and has a concise, chainable interface. Zod is lightweight (8kb when zipped), immutable, with methods returning new instances. It encourages parsing over validation and is not limited to TypeScript but works well with JavaScript as well.

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.

Formik and Yup empower you to build robust and user-friendly forms in React. By leveraging their capabilities, you can streamline form management, reduce boilerplate code, and ensure a smooth user experience with clear and effective validation. Refer to the official documentation of Formik https://formik.org/ and Yup https://github.com/jquense/yup for in-depth exploration and advanced use cases.

On the other hand, Formik gives you components that you can mix and match to have fully working forms. Formik has builtin support for Yup for data validation.

I was recently building an application that, among other features, allows a user to submit chess players and chess games to a database. I was utilizing Yup for form schema and Formik for error handling, validation, and form submission.

Sometimes our use case might not require a full-blown form validation library though and we might already have a schema validation library installed in our project such as Zod or Yup. In that case, a simple Vue composable is all that is needed to provide a great form validation UX.

As for validation libraries, I would recommend Yup. With it you define your validation rules in a schema object which can be used where ever you need to do validation. It also integrates very nicely with react-hook-form which is what I’ve moved to using for any nontrivial forms.

GitHub Repository:

I'm currently experimenting with the fantastic Redwood framework. However, while going through the excellent tutorial, I didn't find any guidance on using data validation libraries like Yup, Zod, Vest, etc. So, I had to do some investigation and came up with a solution. This article describes the implementation of validation with Zod in a fresh Redwood app. You can find the sources at this github repository.

Do you want to create a form in your React Native app but don't know how? Then this post is for you! In this post I will teach you how to create forms using a library called Formik , as well as how to integrate non-native form components with Formik. Additionally you will learn how to validate forms using Yup (which Formik supports out of the box)

The project has two authenticated pages - Home and Profile. Unauthenticated users can Sign In, Sign Up, Reset Password and Update Password. All of this is powered by Next.js app router, with usage of both Client and Server Components, and Supabase handling all of the authentication related functionality. Forms are built using Formik and Yup for field validation.

Similarly to zod or yup, attributes are now defined through function builders. For TS users, this removes the need for the as const statement previously needed for type inference (so don't forget to remove it when you migrate 🙈).