awesome-jsonschema
typebox
awesome-jsonschema | typebox | |
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70 | 57 | |
101 | 4,265 | |
4.0% | - | |
5.3 | 8.7 | |
8 months ago | 4 days ago | |
Handlebars | TypeScript | |
Creative Commons Zero v1.0 Universal | GNU General Public License v3.0 or later |
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awesome-jsonschema
- YAML or JSON files that are typed?
- Parse, Don't Validate (2019)
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The Last Breaking Change | JSON Schema Blog
Truth. Zod is comparable to JSON Schema plus AJV, and it doesn't compare well at all. Your Zod code is all locked inside TypeScript so not only can it not be shared to any other language in your stack but it also cannot be serialized, which introduces many limitations. You also miss out on all the JSON Schema ecosystem tooling. (1, 2) For example the intellisense you get in VS Code for config files is powered by JSON Schema and schemastore.
The very first line of text below the header on the json-schema.org homepage is:
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How to use FastAPI for microservices in Python
The framework's official website mentions a number of pros of FastAPI. In my opinion, the most useful features from a microservice perspective are: the simplicity of code (easy to use and avoid boilerplate), high operational capacity thanks to Starlette and Pydantic and compatibility with industry standards - OpenAPI and JSON Schema.
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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).
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A Brief Defense of XML
(There is already a JSON Schema definition at https://json-schema.org/)
Like you said - standard XML isn't terrible. Adding on an XSD isn't terrible, because now you can enforce structure and datatypes on files provided by outside parties. Creating an XSLT is much more of a mental challenge, and probably should be left to tools to define.
Anything beyond those technologies is someone polishing up their resume.
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On the seventh day of Enhancing: Forms
While the aws-sdk is being installed to simulate DynamoDB locally, let me explain a few things about this command. First Comment will be the name of the model the scaffold creates. This model will be codified under app/models/schemas/comment.mjs as a JSON Schema object. Each of the parameters after Comment will be split into a property name and type (e.g. property name “subject”, property type “string”). This JSON Schema document will be used to validate the form data both on the client and server sides.
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Server Sent UI Schema Driven UIs
What you are looking is called Json-schema. Have a look at the implementations page, which will give you an idea of what you can do with json-schema, which also includes UI rendering.
- Tool to document Firestore 'schema'
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
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
zod-to-json-schema - Converts Zod schemas to Json schemas
JSON-Schema Faker - JSON-Schema + fake data generators
fastify-swagger - Swagger documentation generator for Fastify
class-validator - Decorator-based property validation for classes.
pydantic - Data validation using Python type hints
openapi-typescript-validator - Generate typescript with ajv validation based on openapi schemas
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
ts-json-schema-generator - Generate JSON schema from your Typescript sources