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ajv | Yup | |
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59 | 111 | |
13,279 | 22,080 | |
1.2% | - | |
6.0 | 7.1 | |
4 days ago | 8 days ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ajv
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6 Reasons why JSON Schema is worth your time
In the JavaScript ecosystem you can use the excellent AJV package to validate any JavaScript object against a JSON schema. This is especially useful to ensure that API contracts are maintained when communicating with other services.
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Migrate Your Express Application to Fastify
Since Fastify supports schema validation with Ajv, the validate module is no longer required on the /shorten route, and we can specify the JSON schema directly on the route. The controllers for both routes will largely remain the same, except that the res parameter is renamed to reply as before:
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Has anybody used Typia library?
There's a ton of schema validators out there and most devs have their personal favorite. Mine was zod and is now typebox + ajv.
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Advanced Fastify: Hooks, Middleware, and Decorators
Fastify uses JSON schema to define the validation rules for each route's input payload, which includes the request body, query string, parameters, and headers. The JSON schema is a standard format for defining the structure and constraints of JSON data, and Fastify uses Ajv, one of the fastest and most efficient JSON schema validators available.
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Getting Started with Fastify for Node.js
In Fastify, JSON schema validation is a built-in feature that allows you to validate the payload of incoming requests before the handler function is executed. This ensures that incoming data is in the expected format and meets the required criteria for your business logic. Fastify's JSON schema validation is powered by the Ajv library, a fast and efficient JSON schema validator.
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How can we map data from JSON to typescript object efficiently?
I think you're looking for a json schema validator like Ajv or Zod.
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5 useful JSON tools to improve your productivity
We can use JSON Schema to validate that our data adheres to a specific structure. Ajv is one popular validator tool for JavaScript applications that allows us to create a schema and then validate JSON against that schema. Here's an example of using Ajv to validate one of the above JSON examples against a schema:
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Ask HN: JSON API object type definitions and validation in 2023?
Hey HN,
We're designing a new system and have been kicking the can about JSON object definitions and validation. Soon we need to settle on a system to validate API request bodies and provide helpful error messages.
In the past, I've used JSON Schema ( https://json-schema.org/ ) to define definitions and ajv ( https://ajv.js.org/ ) to validate, but it's a bit verbose and ajv validation errors are more cryptic than I'd like to deal with.
TypeSchema looks interesting. It seems solid (and perhaps stable?), but development hasn't been active for 2 years. It also looks like we'd still need to generate JSON Schema and choose a validation library
Anyway, I'm very curious how others are approaching this problem. How do you organize and generate validations for your type definitions? What libraries do you use to validate and provide human readable error messages?
Thank you!
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Node.js Express API Data Validation: Techniques and Examples
Fastify uses ajv for data validation under the hood. I'd recommend ArkType or Zod
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How to handle forms in a good way?
I've used Felte to reduce form boilerplate. Felte supports several different validation libraries like Zod. I actually used a custom validation function with ajv (which uses JSON schema).
Yup
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Using React Select with Formik
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.
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A simple Vue form validation composable with Zod
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.
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Top 5 form validation libraries in React JS and Next JS
GitHub Repository:
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Enhancing Redwood: A Guide to Implementing Zod for Data Validation and Schema Sharing Between the API and Web Layers
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.
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Creating a form In React Native With Formik
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)
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Authentication in Next.js with Supabase Auth and PKCE
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.
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The DynamoDB-Toolbox v1 beta is here 🙌 All you need to know!
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 🙈).
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Htmx Is the Future
I think the main concern for frontend validation was before HTML5 came along with validation attributes. You can easily produce HTML input validation attributes from a Yup schema for example by using its serialization feature (https://github.com/jquense/yup#schemadescribeoptions-resolve...).
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Banditypes: The mighty 400-byte schema validator for TS / JS
Banditstash, like all the newer validation libraries (yup, zod, superstruct, typed) can auto-generate TS type from a JS schema:
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Formik Works Great; Here's Why I Wrote My Own
Not only is this example shorter than even the Angular example, but it's significantly easier to follow the flow of what's happening and when. On top of this, we're able to use existing validation logic from the exceedingly popular Yup library to make sure our form follows a consistent schema.
What are some alternatives?
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]
joi - The most powerful data validation library for JS [Moved to: https://github.com/sideway/joi]
zod - TypeScript-first schema validation with static type inference
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
tv4 - Tiny Validator for JSON Schema v4
jest - Delightful JavaScript Testing.
class-validator - Decorator-based property validation for classes.
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
react-hook-form - 📋 React Hooks for form state management and validation (Web + React Native)
Nuxt.js - Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3. [Moved to: https://github.com/nuxt/nuxt]