Overview
The el-tree-transfer component is an innovative solution based on Vue and Element-UI, designed to manage tree-structured data within a transfer framework. As an alternative to the standard Element-UI transfer component, it allows users to navigate and select data in a more structured manner. With its lightweight design and seamless integration into existing Vue applications using Element-UI, this component offers a reliable way to handle complex data scenarios without the need for additional learning curves.
Created out of the necessity to find an efficient tree transfer solution, el-tree-transfer not only meets functional needs but also optimizes performance and usability. It integrates well with the Vue framework and is tailored for businesses that utilize Element-UI, making it an ideal choice for developers looking for simplicity and efficiency in their user interface components.
Features
Lightweight Integration: Easily integrates with existing Vue and Element-UI applications without adding extra dependencies, ensuring minimal overhead.
Customizable Parameters: Offers a variety of configurable options, such as width, height, and title, allowing developers to tailor the component to their specific UI needs.
Tree Structure Support: Utilizes a tree structure for both source and target data, making data selection intuitive and manageable, especially for hierarchical information.
Multiple Transfer Modes: Supports various modes including a dedicated phonebook mode, enabling flexible usage scenarios for different applications.
Drag and Drop Functionality: Includes drag-and-drop capabilities for a more interactive user experience when moving items between source and target lists.
Performance Optimization: Features enhancements such as lazy loading and improved algorithms that boost performance while handling large datasets.
Custom Node Content: Developers can define custom renderers for both sides of the transfer box to meet unique design requirements.
Search Functionality: Equipped with a search box that enables users to quickly filter items based on keywords, improving navigation through large datasets.