joi
io-ts
joi | io-ts | |
---|---|---|
8 | 80 | |
16,531 | 6,602 | |
- | - | |
6.7 | 4.9 | |
over 3 years ago | 5 months ago | |
JavaScript | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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joi
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Reading Docusaurus code
Code in Docusaurus This module validates and processes frontmatter objects by using Joi library for the data validation.
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Serverless, the Intersection of Technology and People
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.
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Boilerplate for Typescript-Express with sequelize ORM
Validation: request data validation using Joi
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In contact us page users can submit request to contact only if they have an account?
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.
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Minimal and fast runtime API payload sanitiser and error message handling
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
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JSON and scehama validator libraries for Node
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).
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Build quality forms with React 🚀
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.
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Authentication and Authorisation 101
Again a widely used open source validation library like Joi can help you easily create schemas and transform the data into safe objects.
io-ts
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TDD
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.
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Domain modelling with State Machines and TypeScript by Carlton Upperdine
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.
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Why I Like Using Maps (and WeakMaps) for Handling DOM Nodes
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/
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Can someone recommend a library for data parsing similar to Zod, but with better support for input transformations/preprocessing?
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.
- libraries you are happy that you discovered them
- Is React for small projects an Overkill?
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how to strictly type this?
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.
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Typescript advanced bits: function overloading, never and unknown types
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.
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I found 10,000x faster TypeScript validator library
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.
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Validate your data with Zod
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.
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
Yup - Dead simple Object schema validation
class-validator - Decorator-based property validation for classes.
react-hook-form - 📋 React Hooks for form state management and validation (Web + React Native)
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
runtypes - Runtime validation for static types
fp-ts - Functional programming in TypeScript
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]