Comparing
Performant, flexible and extensible forms library for React Hooks
TypeScript-first schema declaration and validation library with static type inference
| Metric | react-hook-form | zod |
|---|---|---|
| Ecosystem | npm | npm |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 40.0M | 148.9M↑ |
| Latest version | v7.72.0 | v4.3.6 |
| Recipes | 1 | 1 |
react-hook-form only
Shared
zod only
Use React Hook Form for any form with more than 3-4 fields, especially if they have validation logic. It integrates well with Zod (via @hookform/resolvers/zod) for schema-based validation, giving you type-safe forms with runtime validation in a few lines.
Use Zod at every trust boundary: parsing API responses, validating form inputs, reading environment variables, or loading config files. Any time external data enters your application, a Zod schema is the right gatekeeper.
For very simple single-field forms (a search box, a newsletter signup), useState is less code. For highly dynamic forms where fields are added/removed programmatically, the useFieldArray API works but adds complexity — evaluate Formik for that use case.
Zod adds bundle size (around 12KB gzipped). For purely server-side validation where bundle size doesn't matter but performance does, Typebox or Ajv (JSON Schema) are faster. If you're already using Pydantic on the Python side, you may want to generate Zod schemas from it rather than maintain both.
react-hook-form
zod