@ata-validator/native-linux-x64-gnu

ata-validator

JSON Schema validation with first-class TypeScript and zero runtime cost. AOT compile your schemas to per-schema ESM modules with no validator dependency. Validator<T> composes with TypeBox, Zod-from-JSON-Schema, Valibot, or hand-written types. Runtime API available for dynamic schemas.

1.0 is a stability commitment: see docs/STABILITY.md for the semver, deprecation, and error-code guarantees.

Quick start

npm install --save-dev ata-validator
npx ata build 'schemas/*.json' --out-dir src/generated

The ata-validator package itself is pure JavaScript. The native accelerator (simdjson parsing, parallel NDJSON, buffer APIs) ships as per-platform optional packages that npm installs automatically where they fit, the same pattern Vite uses for esbuild. For a guaranteed zero-binary install:

npm install ata-validator --omit=optional

or set ATA_NO_NATIVE=1 at runtime. Typical schemas compile to specialized JS; shapes the compiler cannot represent (some $dynamicRef, cyclic $ref, unusual keyword interactions) fall back to an interpreted engine, so every schema validates in every environment. The pure-JS setup passes 99.8% of the official draft 2020-12 test suite. Only the buffer and parallel APIs (isValid on raw buffers, countValid, batchIsValid, validateAndParse) need the native engine and say so with a clear error.

In your code:

import { validate, isValid, type User } from './generated/user.compiled.mjs'

if (isValid(req.body)) {
  const user: User = req.body
  // ...
}

The .compiled.mjs modules are self-contained: zero runtime dependency on ata-validator, fully tree-shakeable, with TypeScript types emitted alongside.

Why AOT

Dimension	Schema	ata-AOT	AJV-runtime	Difference
Bundle (gzipped)	simple	955 B	52.7 KB	56x smaller
Bundle (gzipped)	complex	1.6 KB	52.7 KB	32x smaller
Cold start	simple	21 ms	38 ms	1.8x faster
Throughput (10M ops)	simple	345 Mops/s	116 Mops/s	3.0x faster
Compile time	simple	6 µs	1.5 ms	246x faster

Reproduce on your machine with npm run bench:aot-vs-ajv. Numbers measured on Apple M4 Pro, Node 25.2.1.

The wins are largest on bundle size and compile time because AOT moves work from runtime to build time. Throughput and cold start are also faster because the compiled validator is a tight straight-line function with no schema-walk overhead.

Error messages

ata's error output is compiler-grade: each error carries a stable code, an inline source frame pointing at the schema file, and another pointing at the offending bytes in the request payload. Renderers ship in three styles:

import { Validator, renderPretty, renderCompact, renderJSON } from 'ata-validator'

const v = new Validator(schema, { source: { path: 'schemas/user.json', content: schemaText } })
const r = v.validateJSON(input)
if (!r.valid) {
  console.error(renderPretty(r.errors))
  // error[ATA3001]: value does not match format "email"
  //   --> schemas/user.json:5:7
  //    |
  //  5 |       "email": { "type": "string", "format": "email" }
  //    |       ^^^^^^^  expected format 'email'
  //    |
  //   --> input, byte 23
  //    |
  //  1 | {"name":"M","email":"not-an-email","age":-3}
  //    |                     ^^^^^^^^^^^^^^  got "not-an-email"
  //    |
  //    = help: missing '@' and domain part
  //    = note: see https://ata-validator.com/e/ATA3001
}

The ata CLI ships ata validate <schema> <data> for one-off checks. TTY auto-renders pretty; pipes default to compact; --format=json produces structured output for tooling.

Errors carry a stable code field (ATA####), see the error code registry. Each code has a permalink at https://ata-validator.com/e/<CODE>.

Custom messages

A subschema can override the human-facing message with an errorMessage keyword. A string replaces the message for any failing keyword on that subschema; an object overrides per keyword, with required keyed by the missing property name (or a single string) and _ as a fallback. The code, keyword, and path fields are untouched, so dashboards and renderers keep working.

const v = new Validator({
  type: 'object',
  properties: {
    age: { type: 'integer', minimum: 18, errorMessage: { minimum: 'must be 18 or older', type: 'age has to be a number' } },
    email: { type: 'string', format: 'email', errorMessage: 'enter a valid email address' },
  },
  required: ['email'],
  errorMessage: { required: { email: 'email is required' } },
})

v.validate({ age: 5 }).errors[0].message      // 'must be 18 or older'
v.validate({}).errors[0].message              // 'email is required'

Schemas without an errorMessage keyword pay nothing: the override pass is only installed when one is present.

Opting out

For consumers who built log dashboards on the v0.14 error shape, new Validator(schema, { richErrors: false }) returns the legacy shape exactly. For high-throughput paths, abortEarly: true continues to short-circuit; the returned error carries code: 'ATA9000' and no enrichment.

When to use the runtime API instead

ata build is for schemas you know at build time. If your schemas are user-supplied at runtime (form builders, no-code platforms, dynamic API ingestion), use the runtime API:

import { Validator } from 'ata-validator'

const v = new Validator(schema)
const result = v.validate(data)

The runtime API is unchanged from previous releases. AJV-shim users continue importing from ata-validator/compat.

Usage

Node.js

const { Validator } = require('ata-validator');

const v = new Validator({
  type: 'object',
  properties: {
    name: { type: 'string', minLength: 1 },
    email: { type: 'string', format: 'email' },
    age: { type: 'integer', minimum: 0 },
    role: { type: 'string', default: 'user' }
  },
  required: ['name', 'email']
});

// Fast boolean check - JS codegen, 15.3M ops/sec
v.isValidObject({ name: 'Mert', email: 'mert@example.com', age: 26 }); // true

// Full validation with error details + defaults applied
const result = v.validate({ name: 'Mert', email: 'mert@example.com' });
// result.valid === true, data.role === 'user' (default applied)

// JSON string validation (simdjson fast path)
v.validateJSON('{"name": "Mert", "email": "mert@example.com"}');
v.isValidJSON('{"name": "Mert", "email": "mert@example.com"}'); // true

// Buffer input (zero-copy, raw NAPI)
v.isValid(Buffer.from('{"name": "Mert", "email": "mert@example.com"}'));

// Parallel batch - multi-core, NDJSON, 13.4M items/sec
const ndjson = Buffer.from(lines.join('\n'));
v.isValidParallel(ndjson);  // bool[]
v.countValid(ndjson);        // number

Type-safe schemas

ata infers TypeScript types straight from plain JSON Schema. Write the schema once with defineSchema, and both runtime validation and the static type come from it, with no builder DSL and no second type declaration to keep in sync.

import { defineSchema, Validator } from 'ata-validator'

const userSchema = defineSchema({
  type: 'object',
  properties: {
    id: { type: 'integer', minimum: 1 },
    role: { type: 'string', enum: ['admin', 'user'] },
  },
  required: ['id'],
})

const v = new Validator(userSchema)
const result = v.validate(data)
if (result.valid) {
  result.data.id   // number
  result.data.role // 'admin' | 'user' | undefined
} else {
  // result.errors: ValidationError[]
}

defineSchema returns the schema untouched at runtime; in TypeScript it gives keyword autocomplete and an error when a value has the wrong shape, with no as const needed. new Validator(schema) carries the inferred type, so a successful validate narrows result.data with no manual annotation.

Extracting the type: Infer

You can also pull the type out directly with Infer, with no second declaration to keep in sync.

import { defineSchema, type Infer } from 'ata-validator'

const event = defineSchema({
  $defs: {
    Point: { type: 'object', properties: { x: { type: 'number' }, y: { type: 'number' } }, required: ['x', 'y'] },
  },
  type: 'object',
  properties: {
    kind: { enum: ['click', 'scroll'] },
    at: { $ref: '#/$defs/Point' },
    path: { type: 'array', prefixItems: [{ type: 'string' }, { type: 'integer' }] },
  },
  required: ['kind', 'at'],
})

type Event = Infer<typeof event>
// {
//   kind: 'click' | 'scroll'
//   at: { x: number; y: number }
//   path?: [string, number]
// }

Infer resolves const/enum to literals, anyOf/oneOf to unions, allOf to intersections, prefixItems to tuples, and local $ref into #/$defs or #/definitions, including recursive references. An external or unresolvable $ref resolves to unknown rather than erroring. The exported JSONSchema type is available if you want to annotate a schema by hand; custom and vendor keywords are allowed. Requires TypeScript >= 5.0.

Chainable authoring with ata-validator/t

If you prefer a chainable builder over JSON Schema literals, ata-validator/t ships one whose output is still plain JSON Schema. The runtime validator, Infer<S>, and the AOT pipeline all keep working without an adapter. The migration from TypeBox is one import rename, then the same authoring shape:

import { t } from 'ata-validator/t'
import { Validator, type Infer } from 'ata-validator'

const User = t.object({
  id: t.integer(),
  name: t.string({ minLength: 1 }),
  email: t.optional(t.string({ format: 'email' })),
  role: t.union([t.literal('admin'), t.literal('user')]),
})

type User = Infer<typeof User>
// { id: number; name: string; role: 'admin' | 'user'; email?: string }

const v = new Validator(User)

The builder covers primitives (string, number, integer, boolean, null), composites (object with optional keys, array, tuple, record, union, intersect, literal, const, enum), plus the TypeBox-style modifiers pick, omit, partial, required, composite, and recursive. Optionality is carried by a Symbol marker that the emitted JSON Schema and ata's codegen never see, so the output is still a plain JSON Schema literal that you can pass to anything that takes one.

const User = t.object({ id: t.integer(), name: t.string(), email: t.optional(t.string()) })
const Patch = t.partial(t.omit(User, ['id']))
type Patch = Infer<typeof Patch>
// { name?: string; email?: string }

Async refinement

JSON Schema is synchronous, so checks that need to await, a uniqueness lookup, a remote call, a cross-field rule, attach to a schema with t.refine and run through validateAsync. The refinement rides on a Symbol marker, so new Validator(schema) still does plain structural validation and ignores it; only validateAsync/parseAsync evaluate it, and only after the value is structurally valid.

import { t } from 'ata-validator/t'
import { validateAsync, parseAsync } from 'ata-validator'

const Signup = t.refine(
  t.object({ username: t.string({ minLength: 3 }), email: t.string({ format: 'email' }) }),
  async (value) => !(await usernameTaken(value.username)),
  { message: 'username is already taken', path: '/username' },
)

const r = await validateAsync(Signup, body)
if (!r.valid) return reply.code(400).send(r.errors)

// or: resolves to the typed value, throws on failure with err.errors
const user = await parseAsync(Signup, body)

Refinements compose by wrapping again, and a failing one surfaces as an error with keyword: 'refine' carrying your message and path. A check may be sync or async.

Composes with TypeBox, Zod, or your own types

Validator<T> is generic, so if you already author schemas with a library, pass the type and ata narrows to it. No library-specific assumption.

import { Type, type Static } from '@sinclair/typebox'
import { Validator } from 'ata-validator'

const UserSchema = Type.Object({
  id: Type.Integer({ minimum: 1 }),
  name: Type.String({ minLength: 1 }),
})

const v = new Validator<Static<typeof UserSchema>>(UserSchema)

The same works with Zod-from-JSON-Schema, Valibot, or a hand-written type User = {...} alongside a JSON Schema literal.

Cross-Schema $ref

const addressSchema = {
  $id: 'https://example.com/address',
  type: 'object',
  properties: { street: { type: 'string' }, city: { type: 'string' } },
  required: ['street', 'city']
};

const v = new Validator({
  type: 'object',
  properties: {
    name: { type: 'string' },
    address: { $ref: 'https://example.com/address' }
  }
}, { schemas: [addressSchema] });

// Or use addSchema()
const v2 = new Validator(mainSchema);
v2.addSchema(addressSchema);

Options

const v = new Validator(schema, {
  coerceTypes: true,       // "42" → 42 for integer fields
  removeAdditional: true,  // strip properties not in schema
  schemas: [otherSchema],  // cross-schema $ref registry
  abortEarly: true,        // skip detailed error collection on failure (~4x faster on invalid data)
});

abortEarly returns a shared { valid: false, errors: [{ message: 'validation failed' }] } on failure instead of running the detailed error collector. Useful when the caller only needs a pass/fail decision (Fastify route guards, high-throughput gatekeepers, request rejection at the edge).

Build-time compile (ata compile)

The ata CLI turns a JSON Schema file into a self-contained JavaScript module. No runtime dependency on ata-validator, so only the generated validator ships to the browser. Typical output is ~1 KB gzipped compared to ~27 KB for the full runtime.

npx ata compile schemas/user.json -o src/generated/user.validator.mjs

The CLI emits two files: the validator itself and a paired .d.mts (or .d.cts) with the inferred TypeScript type plus an isValid type predicate.

import { isValid, validate, type User } from './user.validator.mjs'

const incoming: unknown = JSON.parse(req.body)

if (isValid(incoming)) {
  // TypeScript narrows to User here
  incoming.id      // number
  incoming.role    // 'admin' | 'user' | 'guest' | undefined
}

const r = validate(incoming)
// { valid: true, errors: [] } | { valid: false, errors: ValidationError[] }

CLI options:

Flag	Default	Description
-o, --output <file>	<schema>.validator.mjs	Output path
-f, --format <fmt>	esm	esm or cjs
--name <TypeName>	from filename	Root type name in the .d.ts
--abort-early	off	Generate the stub-error variant (~0.5 KB gzipped)
--no-types	off	Skip the .d.mts / .d.cts output

For a project with many schemas, ata build <glob> compiles them all in one command:

npx ata build 'schemas/*.json' --out-dir build/validators --check

Run with --watch during development for incremental rebuilds.

Typical bundle sizes (10-field user schema, gzipped):

Variant	Size	Notes
ata-validator runtime	~27 KB	Full compiler + all keywords
ata compile (standard)	~1.1 KB	Validator + detailed error collector
ata compile --abort-early	~0.5 KB	Validator + stub errors only

Programmatic API if you prefer to script it:

const fs = require('fs');
const { toStandaloneModule } = require('ata-validator/build');

fs.writeFileSync('./user.validator.mjs', toStandaloneModule(schema, { format: 'esm' }));

Fastify startup (10 routes cold): ajv 12.6ms → ata 0.5ms (24x faster boot, no build step required)

Standard Schema V1

const v = new Validator(schema);

// Works with Fastify, tRPC, TanStack, etc.
const result = v['~standard'].validate(data);
// { value: data } on success
// { issues: [{ message, path }] } on failure

Fastify Plugin

Measured against Fastify's own schema and validation test files with ata swapped in as the default validator: 181 of 187 tests pass, and the remaining six assert the default validator's own extension API rather than validation behavior. Validation errors follow the schema's keyword declaration order, so error-message plugins and transformErrors hooks written against the default validator see the same order.

npm install fastify-ata

const fastify = require('fastify')();
fastify.register(require('fastify-ata'), {
  coerceTypes: true,
  removeAdditional: true,
});

// All existing JSON Schema route definitions work as-is

C++

#include "ata.h"

auto schema = ata::compile(R"({
  "type": "object",
  "properties": { "name": {"type": "string"} },
  "required": ["name"]
})");

auto result = ata::validate(schema, R"({"name": "Mert"})");
// result.valid == true

Framework integrations

Copy-paste recipes for the common frameworks. Most need 10-20 lines of glue. See docs/integrations for the full set.

Framework	Pattern	Recipe
Fastify	dedicated plugin	fastify-ata
Vite (build-time compile)	dedicated plugin	ata-vite
Hono	async middleware	docs/integrations/hono.md
Elysia	direct handler check	docs/integrations/elysia.md
tRPC	Standard Schema V1 input	docs/integrations/trpc.md
TanStack Form	Standard Schema V1 validator	docs/integrations/tanstack-form.md
Express	sync middleware	docs/integrations/express.md
Koa	async ctx middleware	docs/integrations/koa.md
NestJS	validation pipe	docs/integrations/nestjs.md
SvelteKit	form action, API route	docs/integrations/sveltekit.md
Astro	API route, server action	docs/integrations/astro.md

Supported Keywords

Category	Keywords
Type	type
Numeric	minimum, maximum, exclusiveMinimum, exclusiveMaximum, multipleOf
String	minLength, maxLength, pattern, format
Array	items, prefixItems, minItems, maxItems, uniqueItems, contains, minContains, maxContains, unevaluatedItems
Object	properties, required, additionalProperties, patternProperties, minProperties, maxProperties, propertyNames, dependentRequired, dependentSchemas, unevaluatedProperties
Enum/Const	enum, const
Composition	allOf, anyOf, oneOf, not
Conditional	if, then, else
References	$ref, $defs, definitions, $id
Boolean	true, false

Format Validators (hand-written, no regex)

email, date, date-time, time, uri, uri-reference, ipv4, ipv6, uuid, hostname

Known limitations

The Draft 2020-12 pass rate (1188 of 1190 applicable cases, 99.8%, in the pure-JS configuration; 1190 of 1190 with the native accelerator installed, which covers the two remaining $dynamicRef scope corners) excludes areas that are deliberate scope decisions for 1.x:

• Remote $ref over the network is not fetched. Register cross-schema refs explicitly with schemas: [...] or addSchema().
• $vocabulary is not implemented; custom vocabularies are ignored rather than enforced.
• contentEncoding / contentMediaType / contentSchema are annotation-only, as the spec permits, and are not validated.
• minLength/maxLength count UTF-16 code units, not grapheme clusters.
• Infinite-loop detection suite cases are skipped; circular $ref chains are cut off by a recursion depth guard instead.
• default optional suite tests are excluded; ata applies default values to validated data, where the spec treats default as a non-enforcing annotation.

If one of these blocks you, open an issue; scope decisions get revisited with real use cases.

Building from Source

This section applies to contributors building the repository. Regular npm install users need not have a C++ toolchain.

Development prerequisites

Native builds require C/C++ toolchain support and the following libraries:

• re2
• abseil
• mimalloc

Install them before running npm run build:

# macOS (Homebrew)
brew install re2 abseil mimalloc

# Ubuntu/Debian (apt)
sudo apt-get update
sudo apt-get install -y libre2-dev libabsl-dev libmimalloc-dev

# C++ library + tests
cmake -B build
cmake --build build
./build/ata_tests

# Node.js addon
npm install
npm run build
npm test

# JSON Schema Test Suite
npm run test:suite

License

MIT

Authors

Mert Can Altin Daniel Lemire