Dejavu is a single-page web application that provides a modern UI for browsing, searching, and managing data in Elasticsearch and OpenSearch clusters. It is built with React 18, Redux, Redux-Saga, and Ant Design, and leverages the ReactiveSearch library for search UI components. The application runs entirely client-side, communicating directly with the Elasticsearch REST API. It supports CRUD operations, data import/export (JSON/CSV), field mapping management, term-based filtering, global search, and a search preview builder. The codebase is organized as a monorepo with two packages: a reusable browser component library (`@appbaseio/dejavu-browser`) and the main application (`dejavu-main`). The architecture follows a standard Redux pattern with sagas for side effects, and uses react-virtualized for high-performance data grids. While the code is well-structured and feature-rich, it relies on several outdated dependencies (Redux 3.x, redux-saga 0.16, react-router-dom 4.x, emotion 9.x) and uses Flow type annotations, which are now deprecated. The project appears to be in a stale maintenance state with no recent commits.

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.