typescript-runtime-type-benchmarks
ajv
typescript-runtime-type-benchmarks | ajv | |
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33 | 60 | |
560 | 13,402 | |
- | 0.9% | |
9.7 | 6.3 | |
4 days ago | 5 days ago | |
TypeScript | TypeScript | |
- | MIT License |
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typescript-runtime-type-benchmarks
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TypeScript please give us types
Has been heavily optimized, both in terms of its types and runtime performance. Even including the static parser, many types are about an order of magnitude more efficient than equivalent Zod. Early results show it as marginally faster than any validator currently published to typescript-runtime-type-benchmarks, not including more complex cases where (2) would give ArkType a much more significant advantage.
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What are some of the best libraries you cannot work without?
Zod is a bit of an underdog but it is not fast, AJV which is slightly more common can validate and generate types too but requires using JSON syntax, TypeBox offers familiar syntax to Zod while still being JSON syntax in the background.
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[AskTS] What do you think will be the future of runtime type checking?
First, they're not fast (runtime type checking benchmarks).
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Typescript really hits the middle ground between extremely rigid statically typed languages on one extreme and no types at all dynamic languages on another extreme. Best type system
Aha, so you're using a library in Java for this. You know about libraries in TS for this, there are plenty of them btw, but you don't use them because it's so easy. Express has `any` type for `req.body` because authors don't care about this either and it's so easy. And TypeScript is the one to blame in that you prefer to work with `any` type for incoming data rather than validating it.
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TypeBox: Runtime Type System Built on Industry Standards
It is so much faster than Zod that Zod basically doesn't show, https://moltar.github.io/typescript-runtime-type-benchmarks/ and according to bundlejs, https://bundlejs.com/?q=zod%2Czod%2C%40sinclair%2Ftypebox&treeshake=%5B*%5D%2C%5B%7B+default+%7D%5D%2C%5B*%5D&config=%7B%22analysis%22%3Atrue%7D, it is even smaller. I genuinely have no clue why Zod is this popular in 2023.
- What’s your favourite validation library?
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TypeBox: Template Literals + Conditional Types at Runtime
TypeBox is a bit different to other libraries in this space where it's mostly intended to be used with a auxiliary JSON Schema validator. Although it provides a built in JSON Schema compiler (which is currently the fastest (not-AOT) runtime validator available for JavaScript today), it's equally intended to be used with validators like Ajv (or any other standards compliant validator)
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Introducing ArkType: The first isomorphic type system for TS/JS
I do plan to add some direct comparisons to https://github.com/moltar/typescript-runtime-type-benchmarks as well but haven't had a chance yet.
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Is using zod as the primary source of truth for Typescript types sensible/sustainable?
I think it's more of a case of the extremely low performance bar that's been set by the status quo (for even the simplest of validation structures). There's been a lot of focus on the TS type inference, and less on the runtime performance (which actually matters more as it does reduce operational costs). It probably wouldn't be such an issue if the performance was reasonable, but I mean here's the full breakdown https://moltar.github.io/typescript-runtime-type-benchmarks/.
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Best schema validator for intellisense performance?
I found a benchmark for runtime performance, but I haven't found any for intellisense/editor performance.
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!
What are some alternatives?
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
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
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.
.NET Runtime - .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
tv4 - Tiny Validator for JSON Schema v4
Wren - The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language.
class-validator - Decorator-based property validation for classes.
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript