
A fast and lightweight AB-Testing library for React and Next.js based on hooks and functional components. Full Typescript support and result caching is possible.
The react-ab-test-hooks library offers a streamlined approach to A/B testing specifically designed for React and Next.js applications. Leveraging the functionality of hooks and functional components, this lightweight library simplifies the implementation of experiments, making it accessible for developers looking to optimize user experiences. With full TypeScript support and the option for result caching, it's an efficient solution for collecting data on user preferences.
The core functionality revolves around a user-friendly interface that allows developers to define experimental variants directly and receive a winner based on real-time user interactions. By offering customizable weight distributions and variant wrappers, the library ensures flexibility in how experiments are structured and executed, catering to varying project needs.
Fast and Lightweight: This library is optimized for performance, ensuring minimal overhead when integrating with your React or Next.js projects.
Full TypeScript Support: Enjoy the benefits of type safety and improved development experiences with full TypeScript compatibility.
Result Caching: Optionally cache experiment results to local storage, enabling users to consistently see the same variant after their initial interaction.
Custom Probability Distribution: Easily define custom weight distributions for your variants, allowing for tailored experimentation that suits your specific goals.
Variant Wrapper Components: Generate functional component wrappers for each variant, ensuring that only the intended children of the winning variant are rendered in your UI.
Error Handling: Built-in error handling features help manage any issues that may arise during the execution of experiments, ensuring robust application behavior.
User-Defined Callbacks: Utilize optional callback functions to execute specific actions when an experiment concludes, providing flexibility in how results are handled.

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