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Standard Schema

A common interface for TypeScript validation libraries
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Standard Schema is a common interface designed to be implemented by JavaScript and TypeScript schema libraries. The goal is to make it easier for ecosystem tools to accept user-defined type validators, without needing to write custom logic or adapters for each supported library. And since Standard Schema is a specification, they can do so with no additional runtime dependencies. Integrate once, validate anywhere. ## Who designed it? The spec was designed by the creators of Zod, Valibot, and ArkType. Recent versions of these libraries already implement the spec (see the [full list of compatible libraries](#what-schema-libraries-implement-the-spec) below). ## The interface The specification consists of a single TypeScript interface `StandardSchemaV1` to be implemented by any schema library wishing to be spec-compliant. This interface can be found below in its entirety. Libraries wishing to implement the spec can copy/paste the code block below into their codebase. It's also available at `@standard-schema/spec` on [npm](https://www.npmjs.com/package/@standard-schema/spec) and [JSR](https://jsr.io/@standard-schema/spec). There will be zero changes without a major version bump. ```ts /** The Standard Schema interface. */ export interface StandardSchemaV1 { /** The Standard Schema properties. */ readonly '~standard': StandardSchemaV1.Props; } export declare namespace StandardSchemaV1 { /** The Standard Schema properties interface. */ export interface Props { /** The version number of the standard. */ readonly version: 1; /** The vendor name of the schema library. */ readonly vendor: string; /** Validates unknown input values. */ readonly validate: ( value: unknown ) => Result | Promise>; /** Inferred types associated with the schema. */ readonly types?: Types | undefined; } /** The result interface of the validate function. */ export type Result = SuccessResult | FailureResult; /** The result interface if validation succeeds. */ export interface SuccessResult { /** The typed output value. */ readonly value: Output; /** The non-existent issues. */ readonly issues?: undefined; } /** The result interface if validation fails. */ export interface FailureResult { /** The issues of failed validation. */ readonly issues: ReadonlyArray; } /** The issue interface of the failure output. */ export interface Issue { /** The error message of the issue. */ readonly message: string; /** The path of the issue, if any. */ readonly path?: ReadonlyArray | undefined; } /** The path segment interface of the issue. */ export interface PathSegment { /** The key representing a path segment. */ readonly key: PropertyKey; } /** The Standard Schema types interface. */ export interface Types { /** The input type of the schema. */ readonly input: Input; /** The output type of the schema. */ readonly output: Output; } /** Infers the input type of a Standard Schema. */ export type InferInput = NonNullable< Schema['~standard']['types'] >['input']; /** Infers the output type of a Standard Schema. */ export type InferOutput = NonNullable< Schema['~standard']['types'] >['output']; } ``` ## Design goals The specification meets a few primary design objectives: - **Support runtime validation.** Given a Standard Schema compatible validator, you should be able to validate data with it (duh). Any validation errors should be presented in a standardized format. - **Support static type inference.** For TypeScript libraries that do type inference, the specification provides a standard way for them to "advertise" their inferred type, so it can be extracted and used by external tools. - **Minimal.** It should be easy for libraries to implement this spec in a few lines of code that call their existing functions/methods. - **Avoid API conflicts.** The entire spec is tucked inside a single object property called `~standard`, which avoids potential naming conflicts with the API surface of existing libraries. - **Do no harm to DX.** The `~standard` property is tilde-prefixed to [de-prioritize it in autocompletion](https://x.com/colinhacks/status/1816860780459073933). By contrast, an underscore-prefixed property would show up before properties/methods with alphanumeric names. ## What schema libraries implement the spec? These are the libraries that have already implemented the Standard Schema interface. (If you maintain a library that implements the spec, [create a PR](https://github.com/standard-schema/standard-schema/compare) to add yourself!) | Implementer | Version(s) | Docs | | ----------- | ---------- | -------------------------------------------------------------------------- | | Zod | 3.24.0+ | [zod.dev](https://zod.dev/) | | Valibot | v1.0+ | [valibot.dev](https://valibot.dev/) | | ArkType | v2.0+ | [arktype.io](https://arktype.io/) | | Arri Schema | v0.71.0+ | [github.com/modiimedia/arri](https://github.com/modiimedia/arri) | | TypeMap | v0.8.0+ | [github.com/sinclairzx81/typemap](https://github.com/sinclairzx81/typemap) | ## What tools / frameworks accept spec-compliant schemas? The following tools accept user-defined schemas conforming to the Standard Schema spec. (If you maintain a tool that supports Standard Schemas, [create a PR](https://github.com/standard-schema/standard-schema/compare) to add yourself!) | Integrator | Description | Link | | ------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------- | | [tRPC](https://trpc.io) | 🧙‍♀️ Move fast and break nothing. End-to-end typesafe APIs made easy | [PR](https://github.com/trpc/trpc/pull/6079) | | [TanStack Form](https://github.com/TanStack/form) | 🤖 Headless, performant, and type-safe form state management for TS/JS, React, Vue, Angular, Solid, and Lit | [PR](https://github.com/TanStack/form/issues/1015) | | [TanStack Router](https://github.com/tanstack/router) | A fully type-safe React router with built-in data fetching, stale-while revalidate caching and first-class search-param APIs | [PR](https://github.com/TanStack/router/pull/2602) | | [Hono Middleware 🚧](https://hono.dev) | Fast, lightweight server, built on Web Standards | [PR](https://github.com/honojs/middleware/pull/887) | | [Qwik 🚧](https://github.com/QwikDev/qwik) | Instant-loading web apps, without effort | [PR](https://github.com/QwikDev/qwik/pull/7281) | | [UploadThing](https://github.com/pingdotgg/uploadthing) | File uploads for modern web devs | [Docs](https://docs.uploadthing.com/file-routes#input) | | [T3 Env](https://github.com/t3-oss/t3-env) | Framework agnostic validation for type-safe environment variables | [PR](https://github.com/t3-oss/t3-env/pull/299) | | [OpenAuth](https://github.com/openauthjs/openauth) | Universal, standards-based auth provider | [Docs](https://openauth.js.org/docs/#server) | | [renoun](https://www.renoun.dev/) | The Documentation Toolkit for React | [Docs](https://www.renoun.dev/utilities/file-system#schema-validation) | | [Formwerk](https://github.com/formwerkjs/formwerk) | A Vue.js Framework for building high-quality, accessible, delightful forms. | [PR](https://github.com/formwerkjs/formwerk/pull/68) | | [GQLoom](https://github.com/modevol-com/gqloom) | Weave GraphQL schema and resolvers using Standard Schema | [PR](https://github.com/modevol-com/gqloom/pull/7) | | [Nuxt UI (v3)](https://github.com/nuxt/ui) | A UI Library for modern web apps, powered by Vue & Tailwind CSS | [PR](https://github.com/nuxt/ui/pull/2303) | | [oRPC](https://github.com/unnoq/orpc) | Typesafe APIs made simple 🪄 | [PR](https://github.com/unnoq/orpc/pull/50) | | [Regle](https://github.com/victorgarciaesgi/regle) | Type-safe model-based form validation library for Vue.js | [PR](https://github.com/victorgarciaesgi/regle/pull/46) | ## How can my schema library implement the spec? Schemas libraries that want to support Standard Schema must implement the `StandardSchemaV1` interface. Start by copying the specification file above into your library. It consists of types only. Then implement the spec by adding the `~standard` property to your validator objects/instances. We recommend using `extends` / `implements` to ensure static agreement with the interface. It doesn't matter whether your schema library returns plain objects, functions, or class instances. The only thing that matters is that the `~standard` property is defined somehow. Here's a simple worked example of a string validator that implements the spec. ```ts import type {StandardSchemaV1} from '@standard-schema/spec'; // Step 1: Define the schema interface interface StringSchema extends StandardSchemaV1 { type: 'string'; message: string; } // Step 2: Implement the schema interface function string(message: string = 'Invalid type'): StringSchema { return { type: 'string', message, '~standard': { version: 1, vendor: 'valizod', validate(value) { return typeof value === 'string' ? {value} : {issues: [{message}]}; }, }, }; } ``` We recommend defining the `~standard.validate()` function in terms of your library's existing validation functions/methods. Ideally implementing the spec only requires a handful of lines of code. Avoid returning `Promise` from `~standard.validate()` unless absolutely necessary. Some third-party libraries may not support async validation. ## How do I accept Standard Schemas in my library? Third-party libraries and frameworks can leverage the Standard Schema spec to accept user-defined schemas in a type-safe way. To get started, copy and paste the specification file into your project. Alternatively (if you are okay with the extra dependency), you can install the `@standard-schema/spec` package from [npm](https://www.npmjs.com/package/@standard-schema/spec) or [JSR](https://jsr.io/@standard-schema/spec) as a dependency. _It is not recommended to install as a dev dependency, see the [associated FAQ](#can-i-add-it-as-a-dev-dependency) for details_. ```sh npm install @standard-schema/spec # npm yarn add @standard-schema/spec # yarn pnpm add @standard-schema/spec # pnpm bun add @standard-schema/spec # bun deno add jsr:@standard-schema/spec # deno ``` Here's is an simple example of a generic function that accepts an arbitrary spec-compliant validator and uses it to parse some data. ```ts import type {StandardSchemaV1} from '@standard-schema/spec'; export async function standardValidate( schema: T, input: StandardSchemaV1.InferInput ): Promise> { let result = schema['~standard'].validate(input); if (result instanceof Promise) result = await result; // if the `issues` field exists, the validation failed if (result.issues) { throw new Error(JSON.stringify(result.issues, null, 2)); } return result.value; } ``` This concise function can accept inputs from any spec-compliant schema library. ```ts import * as z from 'zod'; import * as v from 'valibot'; import {type} from 'arktype'; const zodResult = await standardValidate(z.string(), 'hello'); const valibotResult = await standardValidate(v.string(), 'hello'); const arktypeResult = await standardValidate(type('string'), 'hello'); ``` ## FAQ These are the most frequently asked questions about Standard Schema. If your question is not listed, feel free to create an issue. ### Do I need to add `@standard-schema/spec` as a dependency? No. The `@standard-schema/spec` package is completely optional. You can just copy and paste the types into your project. We guarantee no breaking changes without a major version bump. If you don't mind additional dependencies, you can add `@standard-schema/spec` as a dependency and consume it with `import type`. The `@standard-schema/spec` package contains no runtime code and only exports types. ### Can I add it as a dev dependency? Despite being types-only, you should _not_ install `@standard-schema/spec` as a dev dependency. By accepting Standard Schemas as part of your public API, the Standard Schema interface becomes a part of your library's public API. As such, it _must_ be available whenever/wherever your library gets installed, even in production installs. For this to happen, it must be installed as a regular dependency. ### Why did you prefix the `~standard` property with `~`? The goal of prefixing the key with `~` is to both avoid conflicts with existing API surfaces and to de-prioritize these keys in auto-complete. The `~` character is one of the few ASCII characters that occurs after `A-Za-z0-9` lexicographically, so VS Code puts these suggestions at the bottom of the list. ![Screenshot showing the de-prioritization of the `~` prefix keys in VS Code.](https://github.com/standard-schema/standard-schema/assets/3084745/5dfc0219-7531-481e-9691-cff5bc471378) ### Why not use a symbol key? In TypeScript, using a plain `Symbol` inline as a key always collapses to a simple `symbol` type. This would cause conflicts with other schema properties that use symbols. ```ts const object = { [Symbol.for('~output')]: 'some data', }; // { [k: symbol]: string } ``` Unique symbols can also be declared in a "nominal" way that won't collapse. In this case the symbol key is sorted alphabetically in autocomplete according to the symbol's variable name. ![Screenshot showing the prioritization of external symbols in VS Code](https://github.com/standard-schema/standard-schema/assets/3084745/82c47820-90c3-4163-a838-858b987a6bea) Thus, these symbol keys don't get sorted to the bottom of the autocomplete list, unlike tilde-prefixed string keys. ### How to only allow synchronous validation? The `~validate` function might return a synchronous value _or_ a `Promise`. If you only accept synchronous validation, you can simply throw an error if the returned value is an instance of `Promise`. Libraries are encouraged to preferentially use synchronous validation whenever possible. ```ts import type {StandardSchemaV1} from '@standard-schema/spec'; function validateInput(schema: StandardSchemaV1, data: unknown) { const result = schema['~standard'].validate(data); if (result instanceof Promise) { throw new TypeError('Schema validation must be synchronous'); } // ... } ```