mmkal

mmkal / schematch

Public

pattern matching for typescript 🤝 zod, valibot, arktype

github.commmkalschematch arktype pattern-matching schema standard-schema type-inference
26
1
100% credibility
Found Feb 17, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

schematch provides pattern matching in TypeScript powered by validators from Zod, Valibot, Arktype, and other Standard Schema libraries.

How It Works

1
🔍 Discover schematch

You stumble upon schematch while looking for a smarter way to respond to different kinds of incoming information.

2
📦 Bring it home

You smoothly include schematch in your project with a quick and painless step.

3
🧩 Build decision rules

You create simple rules to recognize text, lists, or structured info and decide what to do with each.

4
⚡ Watch it shine

You try your first example and feel the thrill as it instantly sorts and processes everything perfectly.

5
🔄 Reuse anywhere

You save your smart decision maker and use it repeatedly for fast, reliable handling.

🎉 Effortless control

Your project now gracefully manages any surprise data, staying speedy and organized forever.

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Star Growth

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AI-Generated Review

What is schematch?

Schematch adds pattern matching to TypeScript using Zod, Valibot, or Arktype schemas as patterns. Write `match(input).case(z.string(), s => s.length).default(() => 'fallback')` for type-safe branching that validates at runtime—no more nested ifs or ts-pattern github syntax. It supports reusable matchers, discriminated unions via `.at('type')`, and mixes libraries like pattern matching rust or pattern matching scala styles in TS.

Why is it gaining traction?

Unlike ts-pattern github or ad-hoc switches, schematch reuses your schemas for both validation and flow control, with arktype often fastest in benches (up to 6x over ts-pattern). Reusable builders cache for hot paths, dispatch tables speed 15-branch discriminators, and matchers double as schemas for composition. Developers love the zero-learning-curve hook: drop-in schema-driven matching without new DSLs.

Who should use this?

TS backend devs handling webhook events or API payloads with Zod unions; frontend folks building reducers or state machines on Valibot schemas; anyone tired of boilerplate for discriminated inputs like github pattern search results or candlestick pattern github parsers.

Verdict

Grab it for schema-heavy pattern matching—perf beats alternatives, docs shine with benches. At 24 stars and 1.0% credibility, it's early (low maturity, thin adoption) but battle-tested via vitest; prototype in non-prod first.

(198 words)

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