More Premium Hugo Themes Premium Vue Themes

Vue Bigdata Table

基于Vue.js的百万级数据表格组件,支持编辑、筛选、过滤、粘贴、拖动调整列宽等多种功能

Vue Bigdata Table

基于Vue.js的百万级数据表格组件,支持编辑、筛选、过滤、粘贴、拖动调整列宽等多种功能

Author Avatar Theme by lison16
Github Stars Github Stars: 612
Last Commit Last Commit: Apr 30, 2019 -
First Commit Created: Aug 27, 2024 -
Vue Bigdata Table screenshot

Overview

Vue Bigdata Table is an advanced table component built specifically for managing and rendering large datasets, leveraging the capabilities of Vue 2.0. This component addresses performance issues typically associated with rendering vast amounts of data by utilizing a virtual rendering strategy. It is designed for developers who need to display hundreds of thousands of entries in a structured and responsive manner, making it an essential tool for web applications that handle significant amounts of information.

This table component not only streamlines the rendering process but also offers a wide array of features that enhance usability and customization. By allowing elements like row editing, sorting, and dynamic header configurations, it caters to the needs of developers looking to create sophisticated data management interfaces.

Features

  • Virtual Rendering: Improves performance by only rendering visible rows, which is vital for large datasets.
  • Customizable Columns: Developers can define column properties, including width and rendering functions, enabling flexible table layouts.
  • Row Editing Capabilities: Supports inline editing of table cells, making it easier for users to manage data directly in the interface.
  • Sorting Mechanism: Allows users to sort data based on specified columns, enhancing data organization.
  • Custom Row Height: Offers the ability to set the height of table rows, ensuring better alignment with the design aesthetic.
  • Fixed Headers: Ensures the table headers remain visible as users scroll through large amounts of data, improving navigation.
  • Selectable Cells: Users can select multiple cells, akin to Excel functionality, facilitating bulk operations.
  • Event Handling: Extensive event hooks are available for actions like saving and clicking cells, allowing developers to extend the component’s functionality as per project requirements.