Yup VS joi

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 🙈).

Code in Docusaurus This module validates and processes frontmatter objects by using Joi library for the data validation.

Once you've leaped into thinking as a serverless problem solver, it makes a lot of sense to standardize some tooling and frameworks. The old adage right tool for the job is what I like about this layer of the pyramid. For instance, if a problem requires flexibility in data and your team enjoys validating schema with Joi then you might use TypeScript with a Node.js runtime with your lambdas. If you prefer the developer experience and small footprint and simplicity of Go then use the Go 1.x runtime. You might find you don't need "compute" at all, so using intrinsic functions in State Machines might be plenty.

Validation: request data validation using Joi

I'm using Joi on my server to validate form input, do you think I still need honeypot fields? It sounds like it might be worth looking into IP rate limiting as well, I don't think Joi can help with that.

What does your library provide that others don't? For example: https://github.com/colinhacks/zodhttps://github.com/hapijs/joihttps://github.com/jquense/yuphttps://github.com/gcanti/io-tshttps://github.com/pelotom/runtypeshttps://github.com/sindresorhus/ow

Yup's API is heavily inspired by Joi, but leaner and built with client-side validation as its primary use-case. Yup separates the parsing and validating functions into separate steps. cast() transforms data while validate checks that the input is the correct shape. Each can be performed together (such as HTML form validation) or seperately (such as deserializing trusted data from APIs).

Yup is a Javascript object schema validator: it lets you define a schema to describe how a valid object should look like, and allows you to validate an object using this schema. If you know Joi, Yup is heavily inspired by it, except it relies on client-side validation as its primary use-case.

Again a widely used open source validation library like Joi can help you easily create schemas and transform the data into safe objects.