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rap2h-reactivesearch

v2.17.0

Published

A React UI components library for building search experiences

Downloads

4

Readme

npm version Gitter npm PRs Welcome

React UI components for Elasticsearch.

Banner Image showing all the UI components we offer

Get our designer templates for sketch.

Installation

yarn add @appbaseio/reactivesearch

Concepts

The library is conceptually divided into two parts:

1. Sensor components

Each sensor component is purpose built for applying a specific filter on the data. For example: Rendering a Radio UI elements list based on the available dataset - SingleList

2. Actuator components

Actuators represent the result UI view components. ReactiveSearch primarily comes with two actuators: ResultCard and ResultList.

ResultCard displays the results in a card interface whereas ResultList displays them in a list. Both provide built-in support for pagination and infinite scroll views. Besides these, the library also provides low level actuators (ReactiveComponent and ReactiveList) to render in a more customized fashion.

Live Demos

A set of live demos inspired by real world apps, built with ReactiveSearch.

Documentation

The official docs for the library are at https://opensource.appbase.io/reactive-manual.

The components are divided into four sections:

Changelog

Check out the changelog for more info.

Related tooling and projects

  • ReactiveSearch Dashboard All your Reactive Search related apps (created via interactive tutorial, shared by others, etc.) can be accessed from here.

  • ReactiveMaps is a similar project to Reactive Search that allows building realtime maps easily.

  • appbase-js While building search UIs is dandy with Reactive Search, you might also need to add some input forms. appbase-js comes in handy there.

  • dejavu allows viewing raw data within an appbase.io (or Elasticsearch) app. Soon to be released feature: An ability to import custom data from CSV and JSON files, along with a guided walkthrough on applying data mappings.

  • mirage ReactiveSearch components can be extended using custom Elasticsearch queries. For those new to Elasticsearch, Mirage provides an intuitive GUI for composing queries.