binspector
awesome-jsonschema
binspector | awesome-jsonschema | |
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4 | 70 | |
217 | 101 | |
0.0% | 4.0% | |
1.8 | 5.3 | |
almost 3 years ago | 8 months ago | |
C++ | Handlebars | |
Boost Software License 1.0 | Creative Commons Zero v1.0 Universal |
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binspector
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'
What are some alternatives?
kaitai-to-wireshark - Converts a Kaitai Struct file description to a Wireshark LUA plugin
zod - TypeScript-first schema validation with static type inference
unblob - Extract files from any kind of container formats
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
faq - Format Agnostic jQ -- process various formats with libjq
JSON-Schema Faker - JSON-Schema + fake data generators
grpc-swagger - Debugging gRPC application with swagger-ui.
fastify-swagger - Swagger documentation generator for Fastify
flsplit - Simple tool to split FL Studio project files by playlist track.
pydantic - Data validation using Python type hints
rasn - A Safe #[no_std] ASN.1 Codec Framework
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).