Vue2 Bootstrap Table screenshot

Vue2 Bootstrap Table

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Updated: 28 Jul 2022
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A sortable and searchable table, as a Vue2 component, using bootstrap styling.

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Overview

Vue Bootstrap Table is a powerful component designed for Vue.js applications that provides a highly customizable, sortable, and searchable table with Bootstrap styling. Built to work seamlessly with Vue 2.6.0 and later versions, it makes data presentation intuitive and visually appealing, allowing developers to efficiently manage large datasets with ease. The combination of Bootstrap’s robust styling and Vue’s reactive features ensures a smooth user experience, making it an ideal solution for any project requiring table data representation.

The library is both flexible and feature-rich, supporting multi-column sorting, pagination, and remote data loading, making it versatile for various applications, whether you’re building a simple project or a complex data-driven application. With its ability to seamlessly integrate into existing Vue components, Vue Bootstrap Table is becoming an essential tool for developers who want to enhance their web applications’ tables.

Features

  • Sortable: Easily enable column sorting for any data type, allowing users to arrange data in their preferred order.

  • Multicolumn Sorting: Support for sorting across multiple columns simultaneously, enhancing user experience and data management.

  • Searchable: Implement a search function that lets users quickly filter through the data to find what they need.

  • Select Display Columns: Customize which columns are displayed in the table, providing flexibility based on user needs.

  • Pagination: Manage large datasets efficiently with built-in pagination options, improving load times and user navigation.

  • On Table Editing: Allow inline editing of table data, enabling users to update entries directly without navigating away from the table.

  • Remote Data Loading: Load data asynchronously from remote servers, minimizing initial load times and enhancing performance.

  • Remote Data Processing: Offload processing tasks to the server side, allowing for real-time updates and making handling large datasets more manageable.