sveltekit-search-params simplifies access to query parameters in SvelteKit applications. It allows developers to read query parameters to manage application state and modify them to update the URL. This library extends SvelteKit's built-in functionality to provide a convenient way to interact with query parameters as part of the application's state.
This library provides a straightforward API for reading and writing query parameters. It supports automatic type conversion from strings to other data types like numbers and booleans. The ssp object includes helper functions for common data type conversions, simplifying the process. Custom encoding and decoding functions are supported for advanced data transformations.
- Read Query Parameters: Retrieves all present query parameters as an object.
- Write Query Parameters: Allows updating query parameters, updating both application state and the URL.
- Type Conversion: Automatically converts query parameters to their appropriate data types (string, number, boolean, object, array).
- Custom Encoding/Decoding: Provides flexibility with custom encode and decode functions for advanced data manipulation.
- Frontend State Management: Integrates seamlessly with SvelteKit's state management system for efficient handling of query parameter changes.
- Helpers: Offers a
sspobject containing helper functions for object, array, number and boolean parameter type conversions. - Default Values: Allows specifying default values for query parameters to handle missing parameters gracefully.
The project is actively maintained with recent commits and readily available support. Comprehensive documentation and examples are provided, indicating a stable and user-friendly experience. The presence of a contributing guide suggests a healthy community and ongoing development.
This project is ideal for SvelteKit developers who need to manage URL parameters as part of their application's state. It streamlines the process of reading and writing query parameters, offering convenience and flexibility compared to manual parsing or traditional state management approaches.
