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sinclairzx81
typebox
TypeScript2020–2025
sinclairzx81 / typebox

typebox

JSON Schema Type Builder with Static Type Resolution for TypeScript

15Distinct people
18Mentions
0Explicit recommenders
7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

JSON Schema Type Builder with Static Type Resolution for TypeScript

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year18 dated mentions

Observed mentions: 2020-03-13 09:33:59 UTC to 2025-11-23 18:48:05 UTC.

02462020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC606
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC404

What Hacker News says

18 sources
I was using TypeBox but switched to Zod. I like TypeBox but I found I don't actually need my schema to be a JSON Schema and the one time I did want a JSON Schema it was hard to get actual JSON back out of TypeBox. The thing I like about Zod is the "refinements" and "transforms" and the new "overwrite" in Zod 4 was just what I wanted. TypeBox does have a transform (https://github.com/sinclairzx81/typebox?tab=readme-ov-file#t...) but you can't transform and then apply more validations and then maybe another transform, etc. For example, I like to trim strings before checking length.
In Zod 4
I'd recommend TypeBox[1] as an alternative, which has a runtime “compiler” for generating optimized JS functions from the type objects. It also produces a JSON schema, which can be useful for generating API docs and API clients if needed. It also has a companion library[2] for generating TypeBox validators from TypeScript definitions, which I'm currently using in an RPC library I'm working on. [1]: https://github.com/sinclairzx81/typebox [2]: https://github.com/sinclairzx81/typebox-codegen
In Zod: TypeScript-first schema validation with static type inference
So far I like the commonly used approach in the Typescript community best: 1. Create your Schema using https://zod.dev or https://github.com/sinclairzx81/typebox or one of the other many libs. 2. Generate your types from the schema. It's very simple to create partial or composite types, e.g. UpdateModel, InsertModels, Arrays of them, etc. 3. Most modern Frameworks have first class support for validation, like Fastify (with typebox). Just reuse your schema definition. That is very easy, obvious and effective.
In How I write HTTP services in Go after 13 years
Author here: This specific example is a perfect case of the thing the post calls out! API boundaries are one of the most important places where we need to maintain invariants about our code base, one of the most important places that it is important not to have to worry about “keeping things in sync” as you say. In the TypeScript world, there are a number of libraries that can handle creating types from deserialization logic: Zod [1], Superstruct [2], Typebox [3], etc. – and Typebox specifically does what you are looking to do with MyPy. I do not know the Python ecosystem at all anymore (it has been a decade!) but I would be surprised if nothing like that exists. If it does, there is a good chance it is associated with the functional programming enthusiast corner of the Python community, so you might look there! [1]: https://github.com/co
Read the rest
In Where DRY Applies
Hey everyone! I started working on ArkType about 15 months ago, which at the time was an experiment to determine whether a TypeScript syntax parser written using TS's own generic types could be performant. To my surprise, after a few months of iteration, it turned out it was possible to parse and provide fluid completions for scopes consisting of hundreds of cyclic types (see https://arktype.io/img/typePerf.mp4). At this point, I started working on an "isomorphic" parser that would allow definitions that looked like native TypeScript syntax to be parsed and enforced at compile-time via TS and at runtime in JavaScript using parallel static and dynamic implementations (see https://github.com/arktypeio/arktype#how). This includes syntactic and semantic validation that your editor can update in real-time as you write a definition (if you want
Read the rest
you can try messing around with a definition and corresponding input data in-browser at https://arktype.io/try). Though as a full type system the library has lots of potential applications, the most obvious is for type-safe data validation as an alternative to approaches like Zod that rely on chained functions. Honestly I just think the fact that TypeScript can parse itself is cool in its own right, but given the prevalence of questions about how ArkType is different/better than existing libraries, I've taken the liberty of summarizing a few of what I believe are the most compelling points preemptively: - Having definitions that are inferred 1:1 means you'll be hovering to see types less - Most definitions are just objects and strings and can be easily serialized and eventually could even be used to validate data across multiple languages. Validators that rely on chaining will never be able to do this. - On average, definitions are about 50% shorter than traditional chained syntax. - Zod recently announced they were deprecating discriminated unions (see https://github.com/colinhacks/zod/issues/2106) because it was hard to maintain given their architecture. Not only are they supported in `arktype`, they're supported implicitly- you don't even have to tell us what keys to look at. - The discriminated unions point is really just a special case of a much more general advantage: `arktype` is not just a validator- it's a type system. If we can deeply intersect arbitrary types, optimize them, and determine assignability, we can use all of that to make discrimination much easier (being able to "discriminate" is equivalent to having some common path that has an intersection of `never`) - Zod claims it's impossible to infer recursive types due to a limitation of TS (see https://zod.dev/?id=recursive-types) and cannot handle cyclic data. ArkType can directly infer cyclic and recursive types and validate cyclic data. The point of this is not to say Zod is not a good library. It significantly improved inference capabilities and DX relative to the previous generation of validators like Yup. It also still has some features we haven't yet implemented (primarily stuff like `pick` and `merge` as I'm working on adding support for generics). Plus, we're still on `1.0.9-alpha`, so if I needed a validator for my critical production software, I'd probably go with `zod`. That said, I do think `arktype` has some fundamental advantages that mean in the long term, it's a better approach to invest in. My current focus in preparing for a stable release is adding docs, optimizing runtime perf, and publishing benchmarks (using similar techniques to https://github.com/sinclairzx81/typebox, so should land somewhere between 50-100x faster than non-optimized validators like Zod). Do you think that makes sense as a next priority? Do you think any of this makes sense at all, or have I just been coding in TS's type system long enough that my sanity has begun to erode? Agree or not with any of it, I'd love to hear your thoughts :-) - David
In ArkType: TypeScript's 1:1 validator, optimized from editor to runtime
We're using TypeBox [0]: you use TypeScript to create JSON Schema's and it gives you a compile-time type. From the documentation: const T = Type.String() // const T = { type: 'string' } type T = Static<typeof T> // type T = string The main thing we're using it for now, is defining an OpenAPI schema and using the types in the front-end and backend, and using the schema to validate requests and responses, both client-side as well as server-side. Validation is done using avj [1]. We used Joi before and want to replace that code with JSON Schema, but that is quite the hassle. I like that TypeBox uses JSON Schema underneath, so migrating to another library should be easy. [0] https://github.com/sinclairzx81/typebox [1] https://ajv.js.org/
In Ultra-minimal JSON schemas with TypeScript inference

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