Head-to-Head: React Autosuggest vs react-virtualized Analysis

react-autosuggest

v10.1.0(over 3 years ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are provided via a separate npm package: @types/react-autosuggestNumber of direct dependencies: 5Monthly npm downloads

React-autosuggest is a React component that provides an autosuggest input field for user input. It offers a simple and customizable way to implement autocomplete functionality in React applications, allowing users to quickly find and select options from a predefined list as they type.

Alternatives:
downshift+
react-select+
autocomplete.js+
react-autocomplete+
@material-ui/lab+
@headlessui/react+
@reach/combobox+
react-instantsearch-dom+
react-power-select+
fuse.js+

Tags: reactautocompleteinputcomponentuser-interface

react-virtualized

v9.22.5(about 1 year ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are provided via a separate npm package: @types/react-virtualizedNumber of direct dependencies: 6Monthly npm downloads

React components for efficiently rendering large, scrollable lists and tabular data

Fight!

Popularity

Both React Autosuggest and React Virtualized are popular npm packages in the React ecosystem. React Autosuggest is commonly used for implementing autocomplete functionality, while React Virtualized is popular for efficiently rendering large lists and tables.

Functionality

React Autosuggest provides a comprehensive set of features for building autocomplete components, including customizable suggestions, highlighting, and keyboard navigation. React Virtualized, on the other hand, focuses on efficiently rendering large datasets with features like virtual scrolling, dynamic row heights, and column resizing.

Performance

React Autosuggest is optimized for providing a smooth user experience during autocomplete interactions. It efficiently handles filtering and rendering suggestions as the user types. React Virtualized, on the other hand, excels in rendering large lists and tables by efficiently rendering only the visible portion of the list, resulting in improved performance.

Integration

Both packages can be easily integrated into React applications. React Autosuggest provides a simple API for integrating autocomplete functionality, while React Virtualized offers a range of components and utilities for rendering virtualized lists and tables.

Community and Support

Both packages have active communities and are well-maintained. React Autosuggest has a larger community due to its broader use case, while React Virtualized has a dedicated community focused on efficient rendering of large datasets. Both packages have good documentation and provide support through GitHub issues and community forums.