Are there any specific libraries that help with prop validation in TypeScript for React Native

1. Prop-Types

The `prop-types` library is a popular choice for prop validation in React and React Native projects, even when using TypeScript. It provides a set of built-in validators that can be used to ensure that the props passed to a component are of the expected type.

To use `prop-types` with TypeScript, you can leverage the `InferProps` utility provided by the library. This allows you to automatically generate the TypeScript type definitions based on the `propTypes` definition.

Example:

typescript
import PropTypes, { InferProps } from 'prop-types';

const MyComponent = ({ title, onPress }: InferProps<typeof MyComponent.propTypes>) => {
  // component implementation
};

MyComponent.propTypes = {
  title: PropTypes.string.isRequired,
  onPress: PropTypes.func.isRequired,
};

2. Yup

Yup is a schema validation library that can be used to define and validate the shape of your component props. It provides a declarative API for defining complex validation rules, which can be particularly useful in TypeScript projects.

Example:

typescript
import * as Yup from 'yup';

const propSchema = Yup.object().shape({
  title: Yup.string().required(),
  onPress: Yup.func().required(),
});

type Props = Yup.InferType<typeof propSchema>;

const MyComponent = (props: Props) => {
  // component implementation
};

3. Zod

Zod is another schema validation library that can be used for prop validation in TypeScript. It provides a type-safe API for defining and validating data structures, including component props.

Example:

typescript
import * as z from 'zod';

const propSchema = z.object({
  title: z.string().nonempty(),
  onPress: z.function().args().returns(z.void()),
});

type Props = z.infer<typeof propSchema>;

const MyComponent = (props: Props) => {
  // component implementation
};

All of these libraries provide a way to define the shape of your component props using TypeScript types, and then validate the props at runtime. This can help catch errors early and improve the overall quality of your codebase.