awesome-jsonschema
ajv
awesome-jsonschema | ajv | |
---|---|---|
70 | 69 | |
143 | 14,168 | |
3.5% | 0.7% | |
4.7 | 6.8 | |
about 2 months ago | 4 months ago | |
Handlebars | TypeScript | |
Creative Commons Zero v1.0 Universal | MIT License |
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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'
ajv
- Show HN: A lightweight LLM proxy to get structured results from most LLMs
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JavaScript schema library from the Future 🧬
One of the most basic applications of ReScript Schema is parsing - Accepting unknown JavaScript data, validating it, and returning the result of your desired type. There are dozens of such libraries, and the most popular ones are Zod, Valibot, Runtypes, Arktype, Typia, Superstruct, Effect Schema, and more. Also, even though this is slightly different, validation libraries like Ajv, Yup, and others also stand really close.
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How I Built a SpeedtestTracker with Raspberry PI and AWS Lambda
AJV for validating JSON responses from the speedtest cli
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Fixing and Validating JSON with Ease: An In-Depth Guide
Tools like AJV (Another JSON Schema Validator) in JavaScript or the Python jsonschema library can help you validate JSON data against a schema.
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What is JSON Merge Patch?
Once your schema is ready, the AJV library can be used to apply it:
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Unlocking the Power of JSON Patch
To simply validate a JSON Patch request body, the AJV library and a JSON schema can be used:
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VineJS vs. Zod for schema validation
Speed and complete JSON schema compliance are the main priorities of AJV. Though it lacks the user-friendly APIs that Zod or VineJS has, it's great for validating JSON data, especially in APIs. But for tasks that require high efficiency, like validating huge JSON datasets, it's ideal.
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Why I'm skeptical of rewriting JavaScript tools in "faster" languages
To the article's point, many/most JavaScript projects are not optimised and better performance can be achieved with just JavaScript, and yes, JavaScript engines are becoming faster. However, no matter how much faster JavaScript can get, you can still always get faster with other system languages.
I work on high-performance stuff as a C++ engineer, currently working on an ultra fast JSON Schema validator. We are benchmarking against AJV (https://ajv.js.org), a project with a TON of VERY crazy optimisations to squeeze out as much performance as possible (REALLY well optimised compared to other JavaScript libraries), and we still get numbers like 200x faster than it with C++.
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Zod: TypeScript-first schema validation with static type inference
I'm not 100% sure, they most likely scraped the author emails of all NPM packages that (transitively) depend on ajv. Here's the GitHub issue from back then: https://github.com/ajv-validator/ajv/issues/1202
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Popular Libraries For Building Type-safe Web Application APIs
Ajv’s documentation is available here.
What are some alternatives?
fastify-swagger - Swagger documentation generator for Fastify
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]
ts-json-schema-generator - Generate JSON schema from your Typescript sources
Yup - Dead simple Object schema validation
jsonschema - An implementation of the JSON Schema specification for Python
zod - TypeScript-first schema validation with static type inference