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@sinclair/typebox
Advanced tools
Package description
The @sinclair/typebox package is a TypeScript utility designed to create type-safe schemas with a consistent syntax. It is primarily used for defining data structures with TypeScript types and validating data at runtime using a separate validation library like Ajv.
Type Creation
Allows the creation of TypeScript types for various data structures such as strings, numbers, objects, arrays, etc. The created types can be used for compile-time type checking and runtime validation.
{"const T = Type.String()"}
Type Composition
Enables the composition of complex types by combining simpler types. This is useful for defining the shape of objects, with optional and required fields.
{"const UserType = Type.Object({ name: Type.String(), age: Type.Optional(Type.Number()) })"}
Type Validation
Provides a way to validate data at runtime against the defined types using a validation library like Ajv. This ensures that the data conforms to the specified schema.
{"const T = Type.String(); const validate = ajv.compile(T); const isValid = validate('hello');"}
Joi is a powerful schema description language and data validator for JavaScript. It allows for detailed descriptions of data structures with a wide range of validation options. Compared to @sinclair/typebox, Joi has a more extensive API and built-in validation without the need for an external library.
Yup is a JavaScript schema builder for value parsing and validation. It defines a schema with an expressive API and handles both validation and error messages. Unlike @sinclair/typebox, Yup includes its own validation methods and does not rely on TypeScript for type definitions.
Zod is a TypeScript-first schema declaration and validation library. It offers a similar experience to @sinclair/typebox by leveraging TypeScript for type safety while also providing runtime validation. Zod's API is designed to be more concise and it includes its own validation logic.
Readme
Node
$ npm install @sinclair/typebox --save
Deno and ESM
import { Static, Type } from 'https://esm.sh/@sinclair/typebox'
import { Static, Type } from '@sinclair/typebox'
const T = Type.String() // const T = { type: 'string' }
type T = Static<typeof T> // type T = string
TypeBox is a type builder library that creates in-memory JSON Schema objects that can be statically inferred as TypeScript types. The schemas produced by this library are designed to match the static type checking rules of the TypeScript compiler. TypeBox enables one to create a unified type that can be statically checked by TypeScript and runtime asserted using standard JSON Schema validation.
TypeBox is designed to enable JSON schema to compose with the same flexibility as TypeScript's type system. It can be used either as a simple tool to build up complex schemas or integrated into REST and RPC services to help validate data received over the wire.
License MIT
The following demonstrates TypeBox's general usage.
import { Static, Type } from '@sinclair/typebox'
//--------------------------------------------------------------------------------------------
//
// Let's say you have the following type ...
//
//--------------------------------------------------------------------------------------------
type T = {
id: string,
name: string,
timestamp: number
}
//--------------------------------------------------------------------------------------------
//
// ... you can express this type in the following way.
//
//--------------------------------------------------------------------------------------------
const T = Type.Object({ // const T = {
id: Type.String(), // type: 'object',
name: Type.String(), // properties: {
timestamp: Type.Integer() // id: {
}) // type: 'string'
// },
// name: {
// type: 'string'
// },
// timestamp: {
// type: 'integer'
// }
// },
// required: [
// 'id',
// 'name',
// 'timestamp'
// ]
// }
//--------------------------------------------------------------------------------------------
//
// ... then infer back to the original static type this way.
//
//--------------------------------------------------------------------------------------------
type T = Static<typeof T> // type T = {
// id: string,
// name: string,
// timestamp: number
// }
//--------------------------------------------------------------------------------------------
//
// ... then use the type both as JSON schema and as a TypeScript type.
//
//--------------------------------------------------------------------------------------------
function receive(value: T) { // ... as a Type
if(JSON.validate(T, value)) { // ... as a Schema
// ok...
}
}
TypeBox provides a set of functions that allow you to compose JSON Schema similar to how you would compose static types with TypeScript. Each function creates a JSON schema fragment which can compose into more complex types. The schemas produced by TypeBox can be passed directly to any JSON Schema compliant validator, or used to reflect runtime metadata for a type.
The following table lists the standard TypeBox types.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Any() │ type T = any │ const T = { } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Unknown() │ type T = unknown │ const T = { } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.String() │ type T = string │ const T = { │
│ │ │ type: 'string' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Number() │ type T = number │ const T = { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Integer() │ type T = number │ const T = { │
│ │ │ type: 'integer' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Boolean() │ type T = boolean │ const T = { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Null() │ type T = null │ const T = { │
│ │ │ type: 'null' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.RegEx(/foo/) │ type T = string │ const T = { │
│ │ │ type: 'string', │
│ │ │ pattern: 'foo' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Literal(42) │ type T = 42 │ const T = { │
│ │ │ const: 42, │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Array( │ type T = number[] │ const T = { │
│ Type.Number() │ │ type: 'array', │
│ ) │ │ items: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ x: Type.Number(), │ x: number, │ type: 'object', │
│ y: Type.Number() │ y: number │ properties: { │
│ }) │ } │ x: { │
│ │ │ type: 'number' │
│ │ │ }, │
│ │ │ y: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Tuple([ │ type T = [number, number] │ const T = { │
│ Type.Number(), │ │ type: 'array', │
│ Type.Number() │ │ items: [{ │
│ ]) │ │ type: 'number' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ additionalItems: false, │
│ │ │ minItems: 2, │
│ │ │ maxItems: 2 │
│ │ │ } │
│ │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ enum Foo { │ enum Foo { │ const T = { │
│ A, │ A, │ anyOf: [{ │
│ B │ B │ type: 'number', │
│ } │ } │ const: 0 │
│ │ │ }, { │
│ const T = Type.Enum(Foo) │ type T = Foo │ type: 'number', │
│ │ │ const: 1 │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.KeyOf( │ type T = keyof { │ const T = { │
│ Type.Object({ │ x: number, │ anyOf: [{ │
│ x: Type.Number(), │ y: number │ type: 'string', │
│ y: Type.Number() │ } │ const: 'x' │
│ }) │ │ }, { │
│ ) │ │ type: 'string', │
│ │ │ const: 'y' │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Union([ │ type T = string | number │ const T = { │
│ Type.String(), │ │ anyOf: [{ │
│ Type.Number() │ │ type: 'string' │
│ ]) │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Intersect([ │ type T = { │ const T = { │
│ Type.Object({ │ x: number │ type: 'object', │
│ x: Type.Number() │ } & { │ properties: { │
│ }), │ y: number │ x: { │
│ Type.Object({ │ } │ type: 'number' │
│ y: Type.Number() │ │ }, │
│ }) │ │ y: { │
│ ]) │ │ type: 'number' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Never() │ type T = never │ const T = { │
│ │ │ allOf: [{ │
│ │ │ type: 'boolean', │
│ │ │ const: false │
│ │ │ }, { │
│ │ │ type: 'boolean', │
│ │ │ const: true │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Record( │ type T = Record< │ const T = { │
│ Type.String(), │ string, │ type: 'object', │
│ Type.Number() │ number, │ patternProperties: { │
│ ) │ > │ '^.*$': { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Partial( │ type T = Partial<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }> │ x: { │
│ }) │ │ type: 'number' │
│ ) │ │ }, │
│ │ │ y: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Required( │ type T = Required<{ │ const T = { │
│ Type.Object({ │ x?: number, │ type: 'object', │
│ x: Type.Optional( │ y?: number │ properties: { │
│ Type.Number() | }> │ x: { │
│ ), │ │ type: 'number' │
│ y: Type.Optional( │ │ }, │
│ Type.Number() │ │ y: { │
│ ) │ │ type: 'number' │
│ }) │ │ } │
│ ) │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Pick( │ type T = Pick<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }, 'x'> │ x: { │
│ }), ['x'] │ │ type: 'number' │
│ ) │ │ } │
│ │ │ }, │
│ │ │ required: ['x'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Omit( │ type T = Omit<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }, 'x'> │ y: { │
│ }), ['x'] │ │ type: 'number' │
│ ) │ │ } │
│ │ │ }, │
│ │ │ required: ['y'] │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘
TypeBox provides modifiers that can be applied to an objects properties. This allows for optional
and readonly
to be applied to that property. The following table illustates how they map between TypeScript and JSON Schema.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.Optional( │ name?: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.Readonly( │ readonly name: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['name'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.ReadonlyOptional( │ readonly name?: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘
You can pass additional JSON schema options on the last argument of any given type. The following are some examples.
// string must be an email
const T = Type.String({ format: 'email' })
// number must be a multiple of 2
const T = Type.Number({ multipleOf: 2 })
// array must have at least 5 integer values
const T = Type.Array(Type.Integer(), { minItems: 5 })
In addition to JSON schema types, TypeBox provides several extended types that allow for the composition of function
and constructor
types. These additional types are not valid JSON Schema and will not validate using typical JSON Schema validation. However, these types can be used to frame JSON schema and describe callable interfaces that may receive JSON validated data. These types are as follows.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ Extended Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Constructor([ │ type T = new ( │ const T = { │
│ Type.String(), │ arg0: string, │ type: 'constructor' │
│ Type.Number() │ arg1: number │ parameters: [{ │
│ ], Type.Boolean()) │ ) => boolean │ type: 'string' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ return: { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Function([ │ type T = ( │ const T = { │
| Type.String(), │ arg0: string, │ type : 'function', │
│ Type.Number() │ arg1: number │ parameters: [{ │
│ ], Type.Boolean()) │ ) => boolean │ type: 'string' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ return: { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Uint8Array() │ type T = Uint8Array │ const T = { │
│ │ │ type: 'object', │
│ │ │ specialized: 'Uint8Array' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Promise( │ type T = Promise<string> │ const T = { │
│ Type.String() │ │ type: 'promise', │
│ ) │ │ item: { │
│ │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Undefined() │ type T = undefined │ const T = { │
│ │ │ type: 'object', │
│ │ │ specialized: 'Undefined' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Void() │ type T = void │ const T = { │
│ │ │ type: 'null' │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘
Use Type.Ref(...)
to create referenced types. The target type must specify an $id
.
const T = Type.String({ $id: 'T' }) // const T = {
// $id: 'T',
// type: 'string'
// }
const R = Type.Ref(T) // const R = {
// $ref: 'T'
// }
Use Type.Recursive(...)
to create recursive types.
const Node = Type.Recursive(Node => Type.Object({ // const Node = {
id: Type.String(), // $id: 'Node',
nodes: Type.Array(Node) // type: 'object',
}), { $id: 'Node' }) // properties: {
// id: {
// type: 'string'
// },
// nodes: {
// type: 'array',
// items: {
// $ref: 'Node'
// }
// }
// },
// required: [
// 'id',
// 'nodes'
// ]
// }
type Node = Static<typeof Node> // type Node = {
// id: string
// nodes: Node[]
// }
function test(node: Node) {
const id = node.nodes[0].nodes[0] // id is string
.nodes[0].nodes[0]
.id
}
Use functions to create generic types. The following creates a generic Nullable<T>
type.
import { Type, Static, TSchema } from '@sinclair/typebox'
const Nullable = <T extends TSchema>(type: T) => Type.Union([type, Type.Null()])
const T = Nullable(Type.String()) // const T = {
// anyOf: [{
// type: 'string'
// }, {
// type: 'null'
// }]
// }
type T = Static<typeof T> // type T = string | null
const U = Nullable(Type.Number()) // const U = {
// anyOf: [{
// type: 'number'
// }, {
// type: 'null'
// }]
// }
type U = Static<typeof U> // type U = number | null
Use the conditional module to create Conditional Types. This module implements TypeScript's structural equivalence checks to enable TypeBox types to be conditionally inferred at runtime. This module also provides the Extract and Exclude utility types which are expressed as conditional types in TypeScript.
The conditional module is provided as an optional import.
import { Conditional } from '@sinclair/typebox/conditional'
The following table shows the TypeBox mappings between TypeScript and JSON schema.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Extends( │ type T = │ const T = { │
│ Type.String(), │ string extends number │ const: false, │
│ Type.Number(), │ true : false │ type: 'boolean' │
│ Type.Literal(true), │ │ } │
│ Type.Literal(false) │ │ │
│ ) │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Extract( │ type T = Extract< │ const T = { │
│ Type.Union([ │ 'a' | 'b' | 'c', │ anyOf: [{ │
│ Type.Literal('a'), │ 'a' | 'f' │ const: 'a' │
│ Type.Literal('b'), │ > │ type: 'string' │
│ Type.Literal('c') │ │ }] │
│ ]), │ │ } │
│ Type.Union([ │ │ │
│ Type.Literal('a'), │ │ │
│ Type.Literal('f') │ │ │
│ ]) │ │ │
│ ) │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Exclude( │ type T = Exclude< │ const T = { │
│ Type.Union([ │ 'a' | 'b' | 'c', │ anyOf: [{ │
│ Type.Literal('a'), │ 'a' │ const: 'b', │
│ Type.Literal('b'), │ > │ type: 'string' │
│ Type.Literal('c') │ │ }, { │
│ ]), │ │ const: 'c', │
│ Type.Union([ │ │ type: 'string' │
│ Type.Literal('a') │ │ }] │
│ ]) │ │ } │
│ ) │ │ │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘
Use Type.Unsafe(...)
to create custom schemas with user defined inference rules.
const T = Type.Unsafe<string>({ type: 'number' }) // const T = {
// type: 'number'
// }
type T = Static<typeof T> // type T = string
This function can be used to create custom schemas for validators that require specific schema representations. An example of this might be OpenAPI's nullable
and enum
schemas which are not provided by TypeBox. The following demonstrates using Type.Unsafe(...)
to create these types.
import { Type, Static, TSchema } from '@sinclair/typebox'
//--------------------------------------------------------------------------------------------
//
// Nullable<T>
//
//--------------------------------------------------------------------------------------------
function Nullable<T extends TSchema>(schema: T) {
return Type.Unsafe<Static<T> | null>({ ...schema, nullable: true })
}
const T = Nullable(Type.String()) // const T = {
// type: 'string',
// nullable: true
// }
type T = Static<typeof T> // type T = string | null
//--------------------------------------------------------------------------------------------
//
// StringEnum<string[]>
//
//--------------------------------------------------------------------------------------------
function StringEnum<T extends string[]>(values: [...T]) {
return Type.Unsafe<T[number]>({ type: 'string', enum: values })
}
const T = StringEnum(['A', 'B', 'C']) // const T = {
// enum: ['A', 'B', 'C']
// }
type T = Static<typeof T> // type T = 'A' | 'B' | 'C'
Use the guard module to test if values are TypeBox types.
import { TypeGuard } from '@sinclair/typebox/guard'
const T = Type.String()
if(TypeGuard.TString(T)) {
// T is TString
}
TypeBox schemas contain the Kind
and Modifier
symbol properties. These properties are provided to enable runtime type reflection on schemas, as well as helping TypeBox internally compose types. These properties are not strictly valid JSON schema; so in some cases it may be desirable to omit them. TypeBox provides a Type.Strict()
function that will omit these properties if necessary.
const T = Type.Object({ // const T = {
name: Type.Optional(Type.String()) // [Kind]: 'Object',
}) // type: 'object',
// properties: {
// name: {
// [Kind]: 'String',
// type: 'string',
// [Modifier]: 'Optional'
// }
// }
// }
const U = Type.Strict(T) // const U = {
// type: 'object',
// properties: {
// name: {
// type: 'string'
// }
// }
// }
TypeBox includes an optional values module that can be used to perform common operations on JavaScript values. This module enables one to create, check and cast values from types. It also provides functionality to check equality, clone and diff and patch JavaScript values. The value module is provided as an optional import.
import { Value } from '@sinclair/typebox/value'
Use the Create function to create a value from a TypeBox type. TypeBox will use default values if specified.
const T = Type.Object({ x: Type.Number(), y: Type.Number({ default: 42 }) })
const A = Value.Create(T) // const A = { x: 0, y: 42 }
Use the Clone function to deeply clone a value
const A = Value.Clone({ x: 1, y: 2, z: 3 }) // const A = { x: 1, y: 2, z: 3 }
Use the Check function to type check a value
const T = Type.Object({ x: Type.Number() })
const R = Value.Check(T, { x: 1 }) // const R = true
Use the Cast function to cast a value into a type. The cast function will retain as much information as possible from the original value.
const T = Type.Object({ x: Type.Number(), y: Type.Number() }, { additionalProperties: false })
const X = Value.Cast(T, null) // const X = { x: 0, y: 0 }
const Y = Value.Cast(T, { x: 1 }) // const Y = { x: 1, y: 0 }
const Z = Value.Cast(T, { x: 1, y: 2, z: 3 }) // const Z = { x: 1, y: 2 }
Use the Equal function to deeply check for value equality.
const R = Value.Equal( // const R = true
{ x: 1, y: 2, z: 3 },
{ x: 1, y: 2, z: 3 }
)
Use the Diff function to produce a sequence of edits to transform one value into another.
const E = Value.Diff<any>( // const E = [
{ x: 1, y: 2, z: 3 }, // { type: 'update', path: '/y', value: 4 },
{ y: 4, z: 5, w: 6 } // { type: 'update', path: '/z', value: 5 },
) // { type: 'insert', path: '/w', value: 6 },
// { type: 'delete', path: '/x' }
// ]
Use the Patch function to apply edits
const A = { x: 1, y: 2 }
const B = { x: 3 }
const E = Value.Diff<any>(A, B) // const E = [
// { type: 'update', path: '/x', value: 3 },
// { type: 'delete', path: '/y' }
// ]
const C = Value.Patch<any>(A, E) // const C = { x: 3 }
Use the Errors function enumerate validation errors.
const T = Type.Object({ x: Type.Number(), y: Type.Number() })
const R = [...Value.Errors(T, { x: '42' })] // const R = [{
// schema: { type: 'number' },
// path: '/x',
// value: '42',
// message: 'Expected number'
// }, {
// schema: { type: 'number' },
// path: '/y',
// value: undefined,
// message: 'Expected number'
// }]
Use ValuePointer to perform mutable updates on existing values using RFC6901 Json Pointers.
import { ValuePointer } from '@sinclair/typebox/value'
const A = { x: 0, y: 0, z: 0 }
ValuePointer.Set(A, '/x', 1) // const A = { x: 1, y: 0, z: 0 }
ValuePointer.Set(A, '/y', 1) // const A = { x: 1, y: 1, z: 0 }
ValuePointer.Set(A, '/z', 1) // const A = { x: 1, y: 1, z: 1 }
TypeBox is written to target JSON Schema Draft 6 and can be used with any Draft 6 compliant validator. TypeBox is developed and tested against Ajv and can be used in any application already making use of this validator. Additionally, TypeBox also provides an optional type compiler that can be used to attain improved compilation and validation performance for certain application types.
The following example shows setting up Ajv to work with TypeBox.
$ npm install ajv ajv-formats --save
import { Type } from '@sinclair/typebox'
import addFormats from 'ajv-formats'
import Ajv from 'ajv'
//--------------------------------------------------------------------------------------------
//
// Setup Ajv validator with the following options and formats
//
//--------------------------------------------------------------------------------------------
const ajv = addFormats(new Ajv({}), [
'date-time',
'time',
'date',
'email',
'hostname',
'ipv4',
'ipv6',
'uri',
'uri-reference',
'uuid',
'uri-template',
'json-pointer',
'relative-json-pointer',
'regex'
])
//--------------------------------------------------------------------------------------------
//
// Create a TypeBox type
//
//--------------------------------------------------------------------------------------------
const T = Type.Object({
x: Type.Number(),
y: Type.Number(),
z: Type.Number()
})
//--------------------------------------------------------------------------------------------
//
// Validate Data
//
//--------------------------------------------------------------------------------------------
const R = ajv.validate(T, { x: 1, y: 2, z: 3 }) // const R = true
TypeBox provides an optional high performance just-in-time (JIT) compiler and type checker that can be used in applications that require extremely fast validation. Note that this compiler is optimized for TypeBox types only where the schematics are known in advance. If defining custom types with Type.Unsafe<T>
please consider Ajv.
The compiler module is provided as an optional import.
import { TypeCompiler } from '@sinclair/typebox/compiler'
Use the Compile(...)
function to compile a type.
const C = TypeCompiler.Compile(Type.Object({ // const C: TypeCheck<TObject<{
x: Type.Number(), // x: TNumber;
y: Type.Number(), // y: TNumber;
z: Type.Number() // z: TNumber;
})) // }>>
const R = C.Check({ x: 1, y: 2, z: 3 }) // const R = true
Validation errors can be read with the Errors(...)
function.
const C = TypeCompiler.Compile(Type.Object({ // const C: TypeCheck<TObject<{
x: Type.Number(), // x: TNumber;
y: Type.Number(), // y: TNumber;
z: Type.Number() // z: TNumber;
})) // }>>
const value = { }
const errors = [...C.Errors(value)] // const errors = [{
// schema: { type: 'number' },
// path: '/x',
// value: undefined,
// message: 'Expected number'
// }, {
// schema: { type: 'number' },
// path: '/y',
// value: undefined,
// message: 'Expected number'
// }, {
// schema: { type: 'number' },
// path: '/z',
// value: undefined,
// message: 'Expected number'
// }]
Compiled routines can be inspected with the .Code()
function.
const C = TypeCompiler.Compile(Type.String()) // const C: TypeCheck<TString>
console.log(C.Code()) // return function check(value) {
// return (
// (typeof value === 'string')
// )
// }
Use the format module to create user defined string formats. The format module is used by the Value and TypeCompiler modules only. If using Ajv, please refer to the official Ajv format documentation located here.
The format module is an optional import.
import { Format } from '@sinclair/typebox/format'
The following creates a palindrome
string format.
Format.Set('palindrome', value => value === value.split('').reverse().join(''))
Once set, this format can then be used by the TypeCompiler and Value modules.
const T = Type.String({ format: 'palindrome' })
const A = TypeCompiler.Compile(T).Check('engine') // const A = false
const B = Value.Check(T, 'kayak') // const B = true
This project maintains a set of benchmarks that measure Ajv, Value and TypeCompiler compilation and validation performance. These benchmarks can be run locally by cloning this repository and running npm run benchmark
. The results below show for Ajv version 8.11.0.
For additional comparative benchmarks, please refer to typescript-runtime-type-benchmarks.
This benchmark measures compilation performance for varying types. You can review this benchmark here.
┌──────────────────┬────────────┬──────────────┬──────────────┬──────────────┐
│ (index) │ Iterations │ Ajv │ TypeCompiler │ Performance │
├──────────────────┼────────────┼──────────────┼──────────────┼──────────────┤
│ Number │ 2000 │ ' 428 ms' │ ' 12 ms' │ ' 35.67 x' │
│ String │ 2000 │ ' 337 ms' │ ' 12 ms' │ ' 28.08 x' │
│ Boolean │ 2000 │ ' 317 ms' │ ' 11 ms' │ ' 28.82 x' │
│ Null │ 2000 │ ' 274 ms' │ ' 10 ms' │ ' 27.40 x' │
│ RegEx │ 2000 │ ' 500 ms' │ ' 18 ms' │ ' 27.78 x' │
│ ObjectA │ 2000 │ ' 2717 ms' │ ' 49 ms' │ ' 55.45 x' │
│ ObjectB │ 2000 │ ' 2854 ms' │ ' 37 ms' │ ' 77.14 x' │
│ Tuple │ 2000 │ ' 1224 ms' │ ' 21 ms' │ ' 58.29 x' │
│ Union │ 2000 │ ' 1266 ms' │ ' 23 ms' │ ' 55.04 x' │
│ Vector4 │ 2000 │ ' 1513 ms' │ ' 19 ms' │ ' 79.63 x' │
│ Matrix4 │ 2000 │ ' 841 ms' │ ' 12 ms' │ ' 70.08 x' │
│ Literal_String │ 2000 │ ' 327 ms' │ ' 8 ms' │ ' 40.88 x' │
│ Literal_Number │ 2000 │ ' 358 ms' │ ' 6 ms' │ ' 59.67 x' │
│ Literal_Boolean │ 2000 │ ' 355 ms' │ ' 5 ms' │ ' 71.00 x' │
│ Array_Number │ 2000 │ ' 685 ms' │ ' 7 ms' │ ' 97.86 x' │
│ Array_String │ 2000 │ ' 716 ms' │ ' 11 ms' │ ' 65.09 x' │
│ Array_Boolean │ 2000 │ ' 732 ms' │ ' 6 ms' │ ' 122.00 x' │
│ Array_ObjectA │ 2000 │ ' 3503 ms' │ ' 34 ms' │ ' 103.03 x' │
│ Array_ObjectB │ 2000 │ ' 3626 ms' │ ' 38 ms' │ ' 95.42 x' │
│ Array_Tuple │ 2000 │ ' 2095 ms' │ ' 21 ms' │ ' 99.76 x' │
│ Array_Union │ 2000 │ ' 1577 ms' │ ' 22 ms' │ ' 71.68 x' │
│ Array_Vector4 │ 2000 │ ' 2172 ms' │ ' 17 ms' │ ' 127.76 x' │
│ Array_Matrix4 │ 2000 │ ' 1468 ms' │ ' 19 ms' │ ' 77.26 x' │
└──────────────────┴────────────┴──────────────┴──────────────┴──────────────┘
This benchmark measures validation performance for varying types. You can review this benchmark here.
┌──────────────────┬────────────┬──────────────┬──────────────┬──────────────┬──────────────┐
│ (index) │ Iterations │ ValueCheck │ Ajv │ TypeCompiler │ Performance │
├──────────────────┼────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│ Number │ 1000000 │ ' 24 ms' │ ' 9 ms' │ ' 6 ms' │ ' 1.50 x' │
│ String │ 1000000 │ ' 23 ms' │ ' 19 ms' │ ' 12 ms' │ ' 1.58 x' │
│ Boolean │ 1000000 │ ' 24 ms' │ ' 19 ms' │ ' 10 ms' │ ' 1.90 x' │
│ Null │ 1000000 │ ' 23 ms' │ ' 18 ms' │ ' 9 ms' │ ' 2.00 x' │
│ RegEx │ 1000000 │ ' 164 ms' │ ' 46 ms' │ ' 38 ms' │ ' 1.21 x' │
│ ObjectA │ 1000000 │ ' 548 ms' │ ' 36 ms' │ ' 22 ms' │ ' 1.64 x' │
│ ObjectB │ 1000000 │ ' 1118 ms' │ ' 51 ms' │ ' 38 ms' │ ' 1.34 x' │
│ Tuple │ 1000000 │ ' 136 ms' │ ' 25 ms' │ ' 14 ms' │ ' 1.79 x' │
│ Union │ 1000000 │ ' 338 ms' │ ' 27 ms' │ ' 16 ms' │ ' 1.69 x' │
│ Recursive │ 1000000 │ ' 3251 ms' │ ' 416 ms' │ ' 98 ms' │ ' 4.24 x' │
│ Vector4 │ 1000000 │ ' 146 ms' │ ' 23 ms' │ ' 12 ms' │ ' 1.92 x' │
│ Matrix4 │ 1000000 │ ' 584 ms' │ ' 40 ms' │ ' 25 ms' │ ' 1.60 x' │
│ Literal_String │ 1000000 │ ' 46 ms' │ ' 19 ms' │ ' 10 ms' │ ' 1.90 x' │
│ Literal_Number │ 1000000 │ ' 46 ms' │ ' 20 ms' │ ' 10 ms' │ ' 2.00 x' │
│ Literal_Boolean │ 1000000 │ ' 47 ms' │ ' 21 ms' │ ' 10 ms' │ ' 2.10 x' │
│ Array_Number │ 1000000 │ ' 456 ms' │ ' 31 ms' │ ' 19 ms' │ ' 1.63 x' │
│ Array_String │ 1000000 │ ' 489 ms' │ ' 40 ms' │ ' 25 ms' │ ' 1.60 x' │
│ Array_Boolean │ 1000000 │ ' 458 ms' │ ' 35 ms' │ ' 27 ms' │ ' 1.30 x' │
│ Array_ObjectA │ 1000000 │ ' 13559 ms' │ ' 2568 ms' │ ' 1564 ms' │ ' 1.64 x' │
│ Array_ObjectB │ 1000000 │ ' 15863 ms' │ ' 2744 ms' │ ' 2060 ms' │ ' 1.33 x' │
│ Array_Tuple │ 1000000 │ ' 1694 ms' │ ' 96 ms' │ ' 63 ms' │ ' 1.52 x' │
│ Array_Union │ 1000000 │ ' 4736 ms' │ ' 229 ms' │ ' 86 ms' │ ' 2.66 x' │
│ Array_Recursive │ 1000000 │ ' 53804 ms' │ ' 6744 ms' │ ' 1167 ms' │ ' 5.78 x' │
│ Array_Vector4 │ 1000000 │ ' 2244 ms' │ ' 99 ms' │ ' 46 ms' │ ' 2.15 x' │
│ Array_Matrix4 │ 1000000 │ ' 11966 ms' │ ' 378 ms' │ ' 229 ms' │ ' 1.65 x' │
└──────────────────┴────────────┴──────────────┴──────────────┴──────────────┴──────────────┘
The following table lists esbuild compiled and minified sizes for each TypeBox module.
┌──────────────────────┬────────────┬────────────┬─────────────┐
│ (index) │ Compiled │ Minified │ Compression │
├──────────────────────┼────────────┼────────────┼─────────────┤
│ typebox/compiler │ ' 51 kb' │ ' 25 kb' │ '2.00 x' │
│ typebox/conditional │ ' 42 kb' │ ' 17 kb' │ '2.46 x' │
│ typebox/format │ ' 0 kb' │ ' 0 kb' │ '2.66 x' │
│ typebox/guard │ ' 21 kb' │ ' 10 kb' │ '2.08 x' │
│ typebox/value │ ' 74 kb' │ ' 34 kb' │ '2.16 x' │
│ typebox │ ' 11 kb' │ ' 6 kb' │ '1.91 x' │
└──────────────────────┴────────────┴────────────┴─────────────┘
TypeBox is open to community contribution. Please ensure you submit an open issue before submitting your pull request. The TypeBox project preferences open community discussion prior to accepting new features.
FAQs
Json Schema Type Builder with Static Type Resolution for TypeScript
We found that @sinclair/typebox demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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