typebox
zod
typebox | zod | |
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57 | 316 | |
4,746 | 32,822 | |
- | - | |
8.4 | 9.2 | |
7 days ago | 5 days ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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typebox
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Popular Libraries For Building Type-safe Web Application APIs
The documentation can be found here.
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I write HTTP services in Go after 13 years (Mat Ryer, 2024)
So far I like the commonly used approach in the Typescript community best:
1. Create your Schema using https://zod.dev or https://github.com/sinclairzx81/typebox
2. Generate your Types from the schema. It's very simple to create partial or composite types, e.g. UpdateModel, InsertModels, Arrays of them, etc.
3. Most modern Frameworks have first class support for validation, like is a great example Fastify (with typebox). Just reuse your schema definition.
That is very easy, obvious and effective.
- Where DRY Applies
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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.
- I'm looking to use my openapi spec to dyanamically create types
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How can I generate typescript types?
If you're willing to document your API with an OpenAPI schema, then it should be possible to generate TypeScript types based on the OpenAPI schema with something like openapi-typescript. Also, Typebox can generate JSON schemas, maybe it can be used to generate something that the front-end can also use?
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[AskTS] What do you think will be the future of runtime type checking?
Well, I do provide extensibility for those bullet points you've listed to varying degrees (both schema and type representation), as well as offering a reference implementation for expressing a entirely different schema specification under the type system (specifically RFC8927 / JSON Type Definition). Reference implementation here. As for JSDoc, It's supported in code hints.
- TypeBox: Runtime Type System Built on Industry Standards
- TypeBox: A Type System for JavaScript built on Industry Standard Specifications
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Building a modern gRPC-powered microservice using Node.js, Typescript, and Connect
In setting out to build this service, we wanted to use gRPC for its APIs. We’ve been reaching for REST when building APIs so far, primarily out of necessity, i.e., our public APIs needed auto-generated client SDKs and docs for developers working with them. We built those APIs with Fastify and Typebox but felt burned by a code-first approach to generating an OpenAPI spec. I’ll spare you the details and save that experience/learning for another article. Suffice it to say we love gRPC’s schema-first approach. This blog post summarizes our feelings well
zod
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Handling custom error responses from ExpressoTS with TanStack Query, and NextJS
Here is the code for the request and response schemas. I'm using zod to do this on the front end:
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Fullstack Serverless Starter with Hono.js, Cloudflare Workers, and Neon Postgres
Validation using Zod.
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Validate your environment variables with Zod
Zod is the most famous validation library in the TypeScript ecosystem. With Zod, you create a schema and validate your data according to the schema. Observe the schema below:
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An approach to optimizing TypeScript type checking performance
IMO Zod is much easier to understand than io-ts, the counterpart to fp-ts: https://zod.dev/
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Introducing JSON Schemas for AI Data Integrity
Here’s a similar example in TypeScript that utilizes Zod to validate the output generated by an LLM:
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How to Create Dynamic Email Contact Form in Next.js Using Resend and Zod
Zod is a powerful tool for your data. It's a TypeScript-first library that helps you define and check the shape of your data. Think of it as setting rules for your data and then making sure the data matches those rules before you use it.
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Encore.ts — 9x faster than Express.js & 3x faster than Bun + Zod
Encore.ts, as the name suggests, is designed from the ground up for TypeScript. But you can't actually run TypeScript: it first has to be compiled to JavaScript, by stripping all the type information. This means run-time type safety is much harder to achieve, which makes it difficult to do things like validating incoming requests, leading to solutions like Zod becoming popular for defining API schemas at runtime instead.
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Taming Forms in React TypeScript: A Deep Dive into Formik and Yup
Formik + Zod: Similar to Yup, Zod is a schema validation library gaining traction for its developer-friendly API and robust type inference capabilities. https://zod.dev/
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Form Validation In TypeScipt Projects Using Zod and React Hook Form
Zod is a powerful TypeScript-first schema declaration and validation library with static type inference for TypeScript applications, which allows you to define the expected structure (schema), data types, and validation rules for your application's inputs.
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How to create a contact form with EmailJS, Zod, ShadCN UI, TypeScript using React and NextJS.
Zod
What are some alternatives?
zod-to-json-schema - Converts Zod schemas to Json schemas
class-validator - Decorator-based property validation for classes.
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
joi - The most powerful data validation library for JS [Moved to: https://github.com/sideway/joi]
Yup - Dead simple Object schema validation
openapi-typescript-validator - Generate typescript with ajv validation based on openapi schemas
ts-json-schema-generator - Generate JSON schema from your Typescript sources
io-ts - Runtime type system for IO decoding/encoding
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).