ajv VS Superstruct

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.

AJV for validating JSON responses from the speedtest cli

Tools like AJV (Another JSON Schema Validator) in JavaScript or the Python jsonschema library can help you validate JSON data against a schema.

Once your schema is ready, the AJV library can be used to apply it:

To simply validate a JSON Patch request body, the AJV library and a JSON schema can be used:

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.

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++.

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

Ajv’s documentation is available here.

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.

Say we want to use superstruct for data validation. We can can not just load modules from our own (local) file server, but from any URL. esm.sh conveniently provides modules for almost all packages available on npm.

You can check out Superstruct documentation here.

This is where I saw compiled folder has superstruct’s minified code.

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.

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).

Banditstash, like all the newer validation libraries (yup, zod, superstruct, typed) can auto-generate TS type from a JS schema:

Superstruct 1.0.3

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.