$ show appbaseio/reactivesearch
ReactiveSearch is a comprehensive, multi-platform UI component library for building search interfaces backed by Elasticsearch, OpenSearch, Solr, or MongoDB. It provides a rich set of drop-in components (search boxes, filters, lists, ranges, maps, charts, and AI-powered answers) for React, Vue, React Native, and native mobile apps. The repository is structured as a monorepo with separate packages for each framework, sharing a common core library (`@appbaseio/reactivecore`) that manages state via a Redux-like store and generates Elasticsearch queries. The library follows a sensor/actuator pattern where filter components (sensors) reactively update result components (actuators) through a central store. It includes extensive documentation, dozens of example apps, and support for server-side rendering, URL state sync, and analytics. While the codebase is well-organized and actively maintained, it exhibits medium technical drift due to the use of deprecated React lifecycle methods, duplicated implementations across frameworks, and a large number of example apps with boilerplate code that increase maintenance burden.
The LLM identified 3 files worth highlighting for reuse:
A highly configurable dropdown component that supports single and multi-select, keyboard navigation, search filtering, custom item rendering, and a load-more footer. It is built on top of Downshift but abstracts away its complexity, providing a clean API for reuse across list and range components. The component is self-contained, with only a few internal style imports, and could be extracted into a standalone library with minimal changes.
A recursive React component that renders a hierarchical tree menu with expand/collapse toggles and checkbox selection. It manages its own state for expanded nodes and selected items, implements keyboard navigation, and supports custom styling via `innerClass` and `className`. The component demonstrates non-trivial recursive rendering and state management patterns, and could be reused as a standalone tree selector in other projects with minimal adaptation.
A self-contained feedback component for AI-generated answers, featuring thumbs up/down buttons, a text input for additional comments, and a state machine that transitions through 'idle', 'feedback', and 'submitted' states. It uses local state for UI control and fires an `onSubmit` callback. The component is decoupled from the broader library (only imports SVG icons and a simple CSS-in-JS style) and could be reused in any AI assistant or chatbot interface.