ajv
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ajv | runtypes | |
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60 | 22 | |
13,353 | 2,545 | |
1.1% | 0.9% | |
6.0 | 5.6 | |
6 days ago | 2 months ago | |
TypeScript | TypeScript | |
MIT License | 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.
ajv
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Popular Libraries For Building Type-safe Web Application APIs
Ajv’s documentation is available here.
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6 Reasons why JSON Schema is worth your time
In the JavaScript ecosystem you can use the excellent AJV package to validate any JavaScript object against a JSON schema. This is especially useful to ensure that API contracts are maintained when communicating with other services.
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Migrate Your Express Application to Fastify
Since Fastify supports schema validation with Ajv, the validate module is no longer required on the /shorten route, and we can specify the JSON schema directly on the route. The controllers for both routes will largely remain the same, except that the res parameter is renamed to reply as before:
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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.
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Accept only specific keys in JSON or form-data format in express?
Good validator library: https://www.npmjs.com/package/ajv
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Advanced Fastify: Hooks, Middleware, and Decorators
Fastify uses JSON schema to define the validation rules for each route's input payload, which includes the request body, query string, parameters, and headers. The JSON schema is a standard format for defining the structure and constraints of JSON data, and Fastify uses Ajv, one of the fastest and most efficient JSON schema validators available.
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Getting Started with Fastify for Node.js
In Fastify, JSON schema validation is a built-in feature that allows you to validate the payload of incoming requests before the handler function is executed. This ensures that incoming data is in the expected format and meets the required criteria for your business logic. Fastify's JSON schema validation is powered by the Ajv library, a fast and efficient JSON schema validator.
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How can we map data from JSON to typescript object efficiently?
I think you're looking for a json schema validator like Ajv or Zod.
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5 useful JSON tools to improve your productivity
We can use JSON Schema to validate that our data adheres to a specific structure. Ajv is one popular validator tool for JavaScript applications that allows us to create a schema and then validate JSON against that schema. Here's an example of using Ajv to validate one of the above JSON examples against a schema:
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Ask HN: JSON API object type definitions and validation in 2023?
Hey HN,
We're designing a new system and have been kicking the can about JSON object definitions and validation. Soon we need to settle on a system to validate API request bodies and provide helpful error messages.
In the past, I've used JSON Schema ( https://json-schema.org/ ) to define definitions and ajv ( https://ajv.js.org/ ) to validate, but it's a bit verbose and ajv validation errors are more cryptic than I'd like to deal with.
TypeSchema looks interesting. It seems solid (and perhaps stable?), but development hasn't been active for 2 years. It also looks like we'd still need to generate JSON Schema and choose a validation library
Anyway, I'm very curious how others are approaching this problem. How do you organize and generate validations for your type definitions? What libraries do you use to validate and provide human readable error messages?
Thank you!
runtypes
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When should I use runtime checks (and which runtime checker should I use)?
In terms of which runtime checker I should use. The first tutorial I saw suggested 'Zod', doing a bit more searchign yielded other options such as 'runtypes'.
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An almost religious case for Rust
Runtypes would probably be a better example.
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'The best thing we can do today to JavaScript is to retire it’ Douglas Crockford
this has been solved by several packages, runtypes https://github.com/pelotom/runtypes being my favorite
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How to force a type when importing a JSON file?
I personally like https://github.com/pelotom/runtypes because it bundles your Schema Info and the corresponding Typescript types
- Why doesn’t TypeScript natively do any type checking
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Create d.ts for API response
When I have to deal with data from API calls, I usually use a runtime typing library like Runtypes or Zod to check the responses at the boundary. These libraries can automatically give you TS types (using their static or infer utilities) to use throughout the rest of the project.
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Typing for JSON Payloads
Also runtypes and (as mentioned below) zod.
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How to check that an 'unknown' object has a specific key and that the key is a specific type?
Seconding the recommendation to use a library for this. runtypes and io-ts are two other alternatives.
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Check types at the top level or in each function?
I wouldn't reinvent the wheel: https://github.com/pelotom/runtypes
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Minimal and fast runtime API payload sanitiser and error message handling
What does your library provide that others don't? For example: https://github.com/colinhacks/zodhttps://github.com/hapijs/joihttps://github.com/jquense/yuphttps://github.com/gcanti/io-tshttps://github.com/pelotom/runtypeshttps://github.com/sindresorhus/ow
What are some alternatives?
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]
zod - TypeScript-first schema validation with static type inference
Yup - Dead simple Object schema validation
typescript-is
io-ts - Runtime type system for IO decoding/encoding
tv4 - Tiny Validator for JSON Schema v4
type-fest - A collection of essential TypeScript types
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
typegraphql-prisma - Prisma generator to emit TypeGraphQL types and CRUD resolvers from your Prisma schema
class-validator - Decorator-based property validation for classes.
ts-auto-guard - Generate type guard functions from TypeScript interfaces