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Zakharov","email":"dzakh.dev@gmail.com"},"license":"MIT","homepage":"https://github.com/DZakh/sury#readme","keywords":["ReScript","Schema","Parser","Serializer","JSON","Encode","Decode","Validation","Contract","TypeScript","Zod","Valibot","Ajv","rescript-struct"],"repository":{"type":"git","url":"git+https://github.com/DZakh/sury.git"},"description":"🧬 Schema for everything - faster than hand-written code","maintainers":[{"name":"dzakh","email":"dzakh.dev@gmail.com"}],"readme":"[![CI](https://github.com/DZakh/sury/actions/workflows/ci.yml/badge.svg)](https://github.com/DZakh/sury/actions/workflows/ci.yml)\n[![sury npm](https://img.shields.io/npm/dm/sury?label=Sury)](https://www.npmjs.com/package/sury)\n[![rescript-schema npm](https://img.shields.io/npm/dm/rescript-schema?label=ReScript%20Schema)](https://www.npmjs.com/package/rescript-schema)\n[![license](https://img.shields.io/npm/l/sury)](https://github.com/DZakh/sury/blob/main/LICENSE)\n\n# Sury 🧬\n\n**Schema for everything - faster than hand-written code.**\n\nDeclare your data once, in TypeScript or ReScript. The wires it travels are schemas too, and they chain:\n\n```ts\nconst signupSchema = S.schema({ id: S.bigint, email: S.email, avatar: S.blob });\ntype Signup = S.Infer;\n\nconst signupsFileSchema = S.file.with(S.to, S.jsonString).with(S.to, S.array(signupSchema));\n\nawait S.decodeAsPromiseOrReject(signupsFileSchema)(file);\n// => [{ id: 7n, email: \"a@b.co\", avatar: Blob }], the avatar rode as base64\nawait S.encodeAsPromiseOrReject(signupsFileSchema)(signups);\n// => a File, from the same declaration - input and return strictly typed\n```\n\nWires today: `S.json`, `S.jsonString`, `S.formData`, `S.env`, `S.urlSearchParams`, `S.queryString`, `S.base64`, `S.base64url`, `S.uint8Array`, `S.file` and `S.blob`. Coming next: `S.request`, `S.response`, `S.protobuf`, `S.capnp`, `S.rkyv`, `S.toon`.\n\n```sh\nnpm install sury\n```\n\n**API Reference:** [TypeScript](https://github.com/DZakh/sury/blob/main/docs/js-usage.md) | [ReScript](https://github.com/DZakh/sury/blob/main/docs/rescript-usage.md) | [ReScript PPX](https://github.com/DZakh/sury/blob/main/packages/sury-ppx/README.md)\n\n## Sponsors\n\nSury's sponsors, who make the time to build it possible:\n\n

\n \"ReScript\n     \n \"Envio\"\n     \n \n \n \"Carla\"\n \n

\n\n> If you want to support the development of the project, [DM me on X](https://x.com/dzakh_dev) and get your logo here as a gratitude.\n\n## Why Sury\n\nDescribe your data model once - unions, constraints and metadata included, with a type you can actually read on hover:\n\n```ts\nimport * as S from \"sury\"; // Tree-shakable: a schema + parse operation starts at 8.6 kB gzip\n\nconst eventSchema = S.union([\n {\n type: \"user.created\",\n id: S.bigint,\n tags: S.array({ name: S.string }).with(S.nonEmpty, \"Add at least one tag\"),\n },\n { type: \"user.deleted\", id: S.bigint, payload: S.json },\n]).with(S.meta, { description: \"User lifecycle event\" });\n\ntype Event = S.Output;\n// ^? { type: \"user.created\"; id: bigint; tags: [{ name: string }, ...{ name: string }[]] }\n// | { type: \"user.deleted\"; id: bigint; payload: S.JSON }\n```\n\nThe same schema parses and encodes - no second definition. Encoding is even faster than `JSON.stringify` - read more in [Encode, Don't Stringify: How JSON.stringify Lies to You](https://dev.to/dzakh/encode-dont-stringify-how-jsonstringify-lies-to-you-38fk):\n\n```ts\nconst parseEvent = S.decodeOrThrow(S.jsonString, eventSchema);\nparseEvent('{\"type\":\"user.created\",\"id\":\"42\",\"tags\":[{\"name\":\"vip\"}]}');\n// => { type: \"user.created\", id: 42n, tags: [{ name: \"vip\" }] }\n\nS.encodeOrThrow(eventSchema, S.jsonString, { type: \"user.deleted\", id: 7n, payload: { reason: \"spam\" } });\n// => '{\"type\":\"user.deleted\",\"id\":\"7\",\"payload\":{\"reason\":\"spam\"}}'\n```\n\nErrors tell you exactly where to look, in wire terms - the missing `id` is a missing string:\n\n```ts\nparseEvent('{\"type\":\"user.deleted\"}');\n// => throws S.Error: Failed at id: Expected string, received undefined\n\nparseEvent('{\"type\":\"user.created\",\"id\":\"42\",\"tags\":[]}');\n// => throws S.Error: Failed at tags: Add at least one tag\n```\n\nAll possible ways to run your schema, with a decision required where safety matters - perfect to navigate and review agentic code:\n\n```ts\nS.parseOrThrow(eventSchema, input); // => Event, or throws S.Error\nS.parseAsResult(eventSchema, input); // => { success: true, value } | { success: false, error }\nS.parseAsPromiseOrReject(eventSchema, input); // => Promise, rejects with S.Error\nS.parseAsResultPromise(eventSchema, input); // => Promise>\nS.parseAsPromisableResult(eventSchema, input); // => Result for a sync schema, Promise> for an async one\n\nS.parseAsResult(input, eventSchema); // Data first works too\nS.parseAsResult(S.jsonString, eventSchema, input); // A pipeline of up to three schemas\nconst safeParseEvent = S.parseAsResult(eventSchema); // Schema alone compiles the operation beforehand\nsafeParseEvent(input);\n```\n\nNeed a different wire? Wrap the same model in base64url. The pipeline knows both of its ends, so `S.encodeOrThrow` and `S.decodeOrThrow` take just the schema:\n\n```ts\nconst b64Event = S.base64url.with(S.to, S.jsonString.with(S.to, eventSchema));\n\nS.encodeOrThrow(b64Event, { type: \"user.deleted\", id: 7n, payload: { reason: \"spam\" } });\n// => \"eyJ0eXBlIjoidXNlci5kZWxldGVkIiwiaWQiOiI3IiwicGF5bG9hZCI6eyJyZWFzb24iOiJzcGFtIn19\"\n\nS.decodeOrThrow(b64Event, \"eyJ0eXBlIjoidXNlci5kZWxldGVkIiwiaWQiOiI3IiwicGF5bG9hZCI6eyJyZWFzb24iOiJzcGFtIn19\");\n// => { type: \"user.deleted\", id: 7n, payload: { reason: \"spam\" } }\n```\n\nThanks to [Standard Schema](https://standardschema.dev/), the schema plugs straight into tRPC, Hono, TanStack and 28+ other libraries. Its Standard JSON Schema extension describes the wire - and a `bigint` has no wire until you give it one:\n\n```ts\nS.enableStandardJSONSchema(); // Opt-in, so unused JSON Schema code tree-shakes away\n\neventSchema[\"~standard\"].validate({ type: \"user.deleted\", id: 7n, payload: null });\n// => { value: { type: \"user.deleted\", id: 7n, payload: null } }\n\neventSchema[\"~standard\"].jsonSchema.input({ target: \"draft-07\" });\n// => throws: Failed at id: Expected JSON, received bigint\n\nS.json.with(S.to, eventSchema)[\"~standard\"].jsonSchema.input({ target: \"draft-07\" });\n// => { anyOf: [...], description: \"User lifecycle event\", ... } - with id: { type: \"string\" }\n```\n\nYou can go the other way too: feed JSON Schema in and get a typed Sury schema back. 93% of the official draft-07 test suite passes in CI:\n\n```ts\nconst emailSchema = S.fromJSONSchemaOrThrow({ type: \"string\", format: \"email\" });\n//? S.Schema\n\nS.parseOrThrow(emailSchema, \"hi@sury.dev\"); // => \"hi@sury.dev\"\n```\n\nRecursive schemas work out of the box:\n\n```ts\ntype Node = { id: string; children: Node[] };\nconst nodeSchema = S.recursive(\"Node\", (nodeSchema) =>\n S.schema({ id: S.string, children: S.array(nodeSchema) }),\n);\n```\n\nRenaming fields between the wire and your code is one `S.shape` call, and the encode direction follows automatically:\n\n```ts\nconst userSchema = S.schema({\n USER_ID: S.string.with(S.to, S.bigint),\n USER_NAME: S.string,\n}).with(S.shape, (input) => ({\n id: input.USER_ID,\n name: input.USER_NAME,\n}));\n\nS.parseOrThrow(userSchema, { USER_ID: \"0\", USER_NAME: \"Dmitry\" });\n// => { id: 0n, name: \"Dmitry\" }\nS.encodeOrThrow(userSchema, { id: 0n, name: \"Dmitry\" });\n// => { USER_ID: \"0\", USER_NAME: \"Dmitry\" }\n```\n\nThe other side of the wire is yours too. A constructor checks a value you built in code - refinements included, and whether the schema can encode it - and hands back the very object it was given. For a branded schema, it's how the brand gets minted:\n\n```ts\nconst makeEvent = S.makeOutputOrThrow(eventSchema);\n\nmakeEvent({ type: \"user.deleted\", id: 7n, payload: { reason: \"spam\" } });\n// => the object you passed in, checked\n\nmakeEvent({ type: \"user.created\", id: 7n, tags: [] });\n// => throws S.Error: Failed at tags: Add at least one tag\n\nconst userIdSchema = S.uuid.with(S.brand, \"UserId\");\nconst userId = S.makeOutputOrThrow(userIdSchema, \"f81d4fae-7dec-11d0-a765-00a0c91e6bf6\");\n//? S.Brand\n```\n\nThe same schema lets you compare your values, fast and safe:\n\n```ts\nconst sessionSchema = S.schema({ kind: \"session\", id: S.string, startedAt: S.date });\n\nS.isEqualOutput(\n sessionSchema,\n { kind: \"session\", id: \"s1\", startedAt: new Date(\"2026-01-01\") },\n { kind: \"session\", id: \"s1\", startedAt: new Date(\"2026-01-01\") },\n);\n// => true, two Date objects for the same instant\n\nconst isSameSession = S.isEqualOutput(sessionSchema);\n//? (a, b) => a === b || (a.id === b.id && +a.startedAt === +b.startedAt)\n```\n\nEvery operation that looks at one side of a schema says which side in its name - `S.makeOutputOrThrow` and `S.isInput`, `S.toInputJSONSchemaOrThrow` for the wire and `S.toOutputJSONSchemaOrThrow` for your types.\n\nReading a `File` is asynchronous, so a pipeline that starts from one becomes async too:\n\n```ts\nconst configSchema = S.file.with(S.to, S.jsonString.with(S.to, S.schema({ theme: S.string })));\n\nawait S.parseAsPromiseOrReject(configSchema, new File(['{\"theme\":\"dark\"}'], \"config.json\"));\n// => { theme: \"dark\" }\n```\n\nNo need for a separate library to decode your env vars:\n\n```ts\nconst envSchema = S.schema({\n PORT: S.port,\n DEBUG: S.boolean,\n NAME: S.nullable(S.string),\n});\n\nS.decodeOrThrow(process.env, S.record(S.env), envSchema);\n// { PORT: \"8080\", DEBUG: \"true\" } => { PORT: 8080, DEBUG: true, NAME: null }\n```\n\nSome data arrives in awkward layouts - like the columnar arrays that [boost Postgres INSERT performance by 2x](https://www.timescale.com/blog/boosting-postgres-insert-performance). Describe the layout instead of writing glue code, and `S.compactColumns` turns columns into rows and back:\n\n```ts\nconst rows = S.compactColumns(S.json).with(S.to, S.array({ id: S.bigint, city: S.string }));\n\nS.decodeOrThrow(rows, [[\"1\", \"2\"], [\"Tbilisi\", \"Batumi\"]]);\n// => [{ id: 1n, city: \"Tbilisi\" }, { id: 2n, city: \"Batumi\" }]\nS.encodeOrThrow(rows, [{ id: 1n, city: \"Tbilisi\" }, { id: 2n, city: \"Batumi\" }]);\n// => [[\"1\", \"2\"], [\"Tbilisi\", \"Batumi\"]]\n```\n\nA form submission is strings, files and missing checkboxes. `S.formData` reads it as what you declared, and builds the body you post back:\n\n```ts\nconst signup = S.formData.with(\n S.to,\n S.schema({\n name: S.string.with(S.nonEmpty),\n age: S.number, // \"42\" -> 42\n agree: true, // a checkbox that has to be ticked\n newsletter: S.optional(S.boolean), // tri-state: absent -> undefined\n role: S.union([\"admin\", \"user\"]),\n tags: S.array(S.string), // every \"tags\" entry\n avatar: S.file,\n prefs: S.jsonString.with(S.to, S.schema({ theme: S.string })),\n }),\n);\n\nS.decodeOrThrow(signup)(await request.formData());\n// => { name: \"Ann\", age: 42, agree: true, newsletter: undefined, role: \"user\",\n// tags: [\"a\", \"b\"], avatar: File, prefs: { theme: \"dark\" } }\n\nS.encodeOrThrow(signup)(value);\n// => a FormData with one append per field, ready for fetch(url, { body })\n```\n\n### The code a schema turns into\n\nHere's what `parseEvent` from above actually runs - a function specialized for this exact shape: the union dispatches on the discriminant, the `bigint` coercion is inlined as a bare `BigInt()` call, your `nonEmpty` message is a plain length check, and `S.jsonString` -> union -> fields fuse into one pass:\n\n```js\n(i) => {\n let v0;\n try {\n v0 = JSON.parse(i);\n } catch (t) {\n e[0](i);\n }\n if (typeof v0 === \"object\" && v0 && !Array.isArray(v0)) {\n for (;;) {\n if (v0.type === \"user.created\") {\n let v2 = v0.id, v3 = v0.tags;\n typeof v2 === \"string\" || e[2](v2);\n let v1;\n try {\n v1 = BigInt(v2);\n } catch (_) {\n e[1](v2);\n }\n Array.isArray(v3) || e[6](v3);\n // ...validates each tag, tracking the error path\n v8.length > 0 || e[5](v8); // e[5] throws your nonEmpty message\n v0 = { type: v0.type, id: v1, tags: v8 };\n break;\n }\n if (v0.type === \"user.deleted\") {\n // ...one branch per variant, no loop over union members\n }\n e[9](v0);\n }\n } else {\n e[10](v0);\n }\n return v0;\n};\n```\n\nThe encoder gets the same treatment right below - and that's why Sury tends to outrun even hand-rolled validation ([benchmarks](#comparison)).\n\n### Encoding vs `JSON.stringify`\n\nThe encoder builds the JSON text directly - no intermediate object, the structure baked in as literals, and `JSON.stringify` left only the free-form `payload`:\n\n```js\n(i) => {\n if (typeof i === \"object\" && i && !Array.isArray(i)) {\n for (;;) {\n // ...one branch per variant\n if (i.type === \"user.deleted\") {\n let v6 = JSON.stringify(i.payload);\n let v7 = '{\"type\":\"user.deleted\",\"id\":\"' + i.id + '\"';\n if (v6 !== void 0) {\n v7 += ',\"payload\":' + v6;\n }\n i = v7 + \"}\";\n break;\n }\n }\n }\n return i;\n};\n```\n\nAnd the values `JSON.stringify` silently corrupts throw instead:\n\n```ts\nJSON.stringify({ price: Infinity });\n// => '{\"price\":null}'\n\nS.encodeOrThrow(S.schema({ price: S.number }), S.jsonString, { price: Infinity });\n// => throws S.Error: Failed at price: Expected JSON, received Infinity\n```\n\n| Encode to JSON string | **Sury** | `JSON.stringify` | fast-json-stringify |\n| ------------------------------------- | ----------- | ---------------- | ------------------- |\n| API response (user profile, 7 fields) | **305 ns** | 590 ns | 382 ns |\n| Event feed (50 tagged-union events) | **5.05 µs** | 7.82 µs | 20.26 µs |\n| `bigint` id + binary payload + `Date` | **1.17 µs** | 1.51 µs | 1.45 µs |\n\nAnd 3.2× lighter than fast-json-stringify - 18.0 kB against 56.9 kB, encoder included.\n\n## Comparison\n\nSury has the fastest parsing and encoding in the ecosystem - the hot path. Creating a schema and using it once is the one workload where an interpreted library wins a row below.\n\nIt's also small. Instead of a few large classes with many methods, the API and source are built from many small, independent functions. A bundler follows your imports and drops everything you don't use, which can cut the shipped size by up to 2× compared to [Zod](https://github.com/colinhacks/zod). (The approach is borrowed from [Valibot](https://github.com/fabian-hiller/valibot), which pioneered it.)\n\nAnd the types stay readable. Hovering the event schema from [Why Sury](#why-sury) reads `S.Schema<{ type: \"user.created\"; id: bigint; ... } | { type: \"user.deleted\"; ... }>` - the same model in Valibot reads `v.UnionSchema<[v.ObjectSchema<{ readonly type: v.LiteralSchema<\"user.created\", undefined>; readonly id: v.BigintSchema; readonly tags: v.SchemaWithPipe<...>; }, undefined>, v.ObjectSchema<...>], undefined>`.\n\n### Size & speed\n\nMeasured with [this repo's comparison benchmark](https://github.com/DZakh/sury/tree/main/packages/e2e/src/benchmark) against `sury@11.0.0`, `zod@4.4.3`, `typebox@0.34.52`, `valibot@1.4.2`, `arktype@2.2.3`.\n\n| | Sury | Zod | TypeBox | Valibot | ArkType |\n| ------------------------------- | -------------- | ------------ | ------------------------------ | ------------ | -------------- |\n| **Total size** (min + gzip) | 43.4 kB | 64.7 kB | 31.2 kB | 15.2 kB | 47.1 kB |\n| **Benchmark size** (min + gzip) | 8.7 kB | 19.6 kB | 22.6 kB | 1.29 kB | 47.0 kB |\n| **Parse with the same schema** | 210,061 ops/ms | 9,367 ops/ms | 158,185 ops/ms (no transforms) | 1,970 ops/ms | 106,520 ops/ms |\n| **Create schema & parse once** | 99 ops/ms | 11 ops/ms | 103 ops/ms (no transforms) | 315 ops/ms | 11 ops/ms |\n\n\"Benchmark size\" is what actually ships after tree-shaking for the benchmarked schema. The TypeBox numbers are validation-only - it doesn't run the transforms.\n\nIndependent benchmarks and conformance suites that include Sury:\n\n- [typescript-runtime-type-benchmarks](https://moltar.github.io/typescript-runtime-type-benchmarks/) - throughput across the ecosystem\n- [schemabenchmarks.dev](https://schemabenchmarks.dev/) - per-step breakdown: download, initialization, validation, parsing, Standard Schema, codec\n- [json-schema-compliance-suite](https://github.com/sinclairzx81/json-schema-compliance-suite) - JSON Schema validation, semantics, and round-trip fidelity\n\n### Features\n\n| | Sury | Zod | TypeBox | Valibot | ArkType |\n| ---------------------------------------- | ---------------------------------------- | ----------------------------------------- | ------------------------- | --------------------------------------------------------------------- | ------------------------- |\n| **Inferred TS type** (what you hover) | `S.Schema<{foo: string}, {foo: string}>` | `z.ZodObject<{foo: z.ZodString}, $strip>` | `TObject<{foo: TString}>` | `v.ObjectSchema<{readonly foo: v.StringSchema}, undefined>` | `Type<{foo: string}, {}>` |\n| **JSON Schema** | both directions + `S.fromJSONSchemaOrThrow` | `z.toJSONSchema` | 👑 | `@valibot/to-json-schema` | `myType.toJsonSchema()` |\n| **Validated constructor** (from your types) | ✅ | ❌ | ⭕ unvalidated | ❌ | ❌ |\n| **Compiled equality** (from your schema) | ✅ | ❌ | ⭕ interpreted | ❌ | ❌ |\n| **Standard Schema** | ✅ | ✅ | ❌ | ✅ | ✅ |\n| **Codegen-free** (doesn't need compiler) | ✅ | ✅ | ✅ | ✅ | ✅ |\n| **Eval-free** | ❌ | ⭕ opt-out | ⭕ opt-in | ✅ | ⭕ opt-out |\n| **Ecosystem** | ⭐️⭐️ | ⭐️⭐️⭐️⭐️⭐️ | ⭐️⭐️⭐️⭐️⭐️ | ⭐️⭐️⭐️ | ⭐️⭐️ |\n\n## Integrations\n\nUse Sury anywhere a schema is accepted:\n\n- [tRPC](https://trpc.io/), [TanStack Form](https://tanstack.com/form), [TanStack Router](https://tanstack.com/router), [Hono](https://hono.dev/), and 28+ more via the [Standard Schema](https://standardschema.dev/) spec\n- Anything that speaks [JSON Schema](https://json-schema.org/), via `S.toInputJSONSchemaOrThrow` / `S.fromJSONSchemaOrThrow`\n\n## Used by\n\n- [HyperIndex](https://github.com/enviodev/hyperindex) - Envio's blockchain indexing framework, which uses Sury to power native high-performance external calls\n- [rescript-rest](https://github.com/DZakh/rescript-rest) - RPC-like client, contract, and server implementation for a pure REST API\n- [rescript-envsafe](https://github.com/DZakh/rescript-envsafe) - makes sure you don't accidentally deploy apps with missing or invalid environment variables\n- [rescript-stripe](https://github.com/enviodev/rescript-stripe) - describe and manage Stripe billing in a declarative way with code\n- Internal form library at [Carla](https://www.carla.se/)\n\nBuilding something with Sury? [Let me know](https://x.com/dzakh_dev) and I'll add it here.\n\n## FAQ\n\n### Is `new Function` safe to use?\n\nYes. It's the same technique TypeBox, Zod v4 and ArkType use, and it's where much of the speed comes from ([the code a schema turns into](#the-code-a-schema-turns-into)). Cloudflare Workers allows `new Function` during Worker startup (the default since compatibility date 2025-06-01), so schemas and operations created at the top level work there.\n\nThere's currently no eval-free mode, so Sury won't run where dynamic code evaluation is forbidden: pages under a strict CSP without `'unsafe-eval'`, some browser extension contexts, and a few restricted edge runtimes. If that's your environment, [Valibot](https://valibot.dev/) is the honest recommendation today.\n\n### Why \"Sury\"?\n\nIt's short, it's pronounceable, and the 🧬 fits: a schema is the DNA of your data - one definition that everything else is derived from.\n\n## Resources\n\n- Welcome Sury - The fastest schema with next-gen DX ([Dev.to](https://dev.to/dzakh/welcome-sury-the-fastest-schema-with-next-gen-dx-5gl4))\n- ReScript Schema unique features ([Dev.to](https://dev.to/dzakh/javascript-schema-library-from-the-future-5420))\n- Building and consuming REST API in ReScript with rescript-rest and Fastify ([YouTube](https://youtu.be/37FY6a-zY20?si=72zT8Gecs5vmDPlD))\n\n## Contributing\n\nBug reports, ideas, and pull requests are all welcome - open an [issue](https://github.com/DZakh/sury/issues) to get started.\n\n## License\n\n[MIT](https://github.com/DZakh/sury/blob/main/LICENSE)\n","readmeFilename":"README.md"}