A React Redux toolset for connecting components to the WordPress API with declarative data fetching.
Kasia is a React Redux toolset that simplifies connecting React components to the WordPress REST API. It provides decorators and utilities to declaratively fetch posts, pages, custom content types, and other WordPress data, normalizing it into the Redux store for predictable state management. It solves the problem of manually managing API calls and state synchronization when building React applications on top of WordPress as a headless CMS.
Frontend developers building React applications that consume data from a WordPress backend, especially those using Redux for state management and seeking a structured, declarative approach to data fetching.
Developers choose Kasia because it reduces boilerplate code for WordPress API integration, offers a normalized Redux store structure, supports server-side rendering out of the box, and provides an extensible plugin system for custom WordPress endpoints.
:tophat: A React Redux toolset for the WordPress API
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Uses decorators like @connectWpPost to connect React components to WordPress data with minimal boilerplate, as shown in the README's example fetching a post by slug.
Stores all WordPress entities in a normalized structure at store.wordpress, ensuring consistent and efficient state management across the application.
Easily registers and consumes custom post types and taxonomies via configuration options, making it flexible for diverse WordPress setups.
Includes utilities like preload and runSagas for SSR, essential for universal React applications, as detailed in the Universal Applications section.
Requires Redux Sagas >=0.10.0, adding complexity and a learning curve for teams not already using saga patterns in their Redux setup.
Setup involves multiple steps: initializing wpapi, spreading reducers, and running sagas, which can be cumbersome for quick prototyping.
Tightly coupled to WordPress and its REST API via node-wpapi, making it unsuitable for projects with multiple data sources or other CMSs.