awesome-jsonschema
Superstruct
Our great sponsors
awesome-jsonschema | Superstruct | |
---|---|---|
70 | 26 | |
98 | 6,797 | |
- | - | |
5.3 | 5.7 | |
7 months ago | 19 days ago | |
Handlebars | TypeScript | |
Creative Commons Zero v1.0 Universal | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
awesome-jsonschema
- YAML or JSON files that are typed?
- Parse, Don't Validate (2019)
-
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:
-
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.
-
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).
-
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.
-
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.
-
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'
Superstruct
-
Popular Libraries For Building Type-safe Web Application APIs
You can check out Superstruct documentation here.
-
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.
-
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
-
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).
-
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:
-
Typescript Runtime Validators and DX, a type-checking performance analysis of zod/superstruct/yup/typebox
Superstruct 1.0.3
-
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.
-
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
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
JSON-Schema Faker - JSON-Schema + fake data generators
Yup - Dead simple Object schema validation
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/hapijs/joi]
fastify-swagger - Swagger documentation generator for Fastify
pydantic - Data validation using Python type hints
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.
datree - Prevent Kubernetes misconfigurations from reaching production (again 😤 )! From code to cloud, Datree provides an E2E policy enforcement solution to run automatic checks for rule violations. See our docs: https://hub.datree.io
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