Superstruct
typebox
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Superstruct | typebox | |
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26 | 57 | |
6,802 | 4,227 | |
- | - | |
5.7 | 8.8 | |
23 days ago | 3 days ago | |
TypeScript | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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Superstruct
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Popular Libraries For Building Type-safe Web Application APIs
You can check out Superstruct documentation here.
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Lessons from open-source: Replace zod with superstruct if you do not use zod’s advanced capabilities
This is where I saw compiled folder has superstruct’s minified code.
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Mastering Type-Safe JSON Serialization in TypeScript
However, working with the unknown type is less convenient than merely specifying the desired data type. Apart from type-casting, there are multiple ways to convert the unknown type into the required data type. One such method is utilizing the Superstruct library to validate data at runtime and throw detailed errors if the data is invalid.
- Where DRY Applies
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Unleashing the Power of TypeScript: Improving Standard Library Types
For example, the superstruct library is a lighter alternative to Zod. This library is more suitable for use on the client side since it has a relatively small size (13.1 kB vs 3.4 kB).
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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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Typescript Runtime Validators and DX, a type-checking performance analysis of zod/superstruct/yup/typebox
Superstruct 1.0.3
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React Router Actions Form Submission and Validation
Inside the action, the first thing we're going to do is get the formData using the request object. Then we will create an object from the formData data that will later be validated by our superstruct schema.
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Is there any reason not to use typescript?
You could use Zod or Superstruct to validate the types of values, or use typestack/class-validator if it makes sense.
- Why doesn’t TypeScript natively do any type checking
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
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
Yup - Dead simple Object schema validation
zod-to-json-schema - Converts Zod schemas to Json schemas
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
class-validator - Decorator-based property validation for classes.
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
openapi-typescript-validator - Generate typescript with ajv validation based on openapi schemas
openapi-cop - A proxy that validates responses and requests against an OpenAPI document. https://www.npmjs.com/package/openapi-cop https://hub.docker.com/r/lxlu/openapi-cop
ts-json-schema-generator - Generate JSON schema from your Typescript sources