react-vis vs recharts vs victory
数据可视化库
react-visrechartsvictory类似的npm包:

数据可视化库

数据可视化库是用于在Web应用程序中创建图表和图形的工具。这些库提供了一组组件和API,使开发者能够轻松地将数据转化为可视化形式,从而帮助用户更好地理解和分析数据。选择合适的数据可视化库可以显著提高开发效率和用户体验。

npm下载趋势

3 年

GitHub Stars 排名

统计详情

npm包名称
下载量
Stars
大小
Issues
发布时间
License
react-vis08,7872.18 MB3433 年前MIT
recharts027,1506.76 MB4602 个月前MIT
victory011,2422.28 MB911 年前MIT

功能对比: react-vis vs recharts vs victory

易用性

  • react-vis:

    react-vis具有简单的API和直观的组件结构,使得开发者能够快速上手并实现基本的图表。它适合快速原型和小型项目,减少了学习成本。

  • recharts:

    recharts的API设计灵活且易于理解,特别适合熟悉React的开发者。它提供了多种图表类型和可定制的选项,能够快速实现响应式图表。

  • victory:

    victory的学习曲线相对较陡,但它提供了丰富的功能和灵活性。对于需要高度定制化的项目,victory能够提供更多的控制和选项。

图表类型

  • react-vis:

    react-vis支持多种基本图表类型,如折线图、柱状图和饼图,适合展示常见的数据可视化需求。

  • recharts:

    recharts提供了丰富的图表类型,包括折线图、柱状图、面积图、饼图等,能够满足大多数数据可视化需求,并且支持组合图表。

  • victory:

    victory支持多种复杂的图表类型,包括交互式图表和自定义图表。它允许开发者创建高度定制化的可视化,适合复杂的数据展示需求。

性能

  • react-vis:

    react-vis在处理小型数据集时表现良好,但在处理大量数据时可能会遇到性能瓶颈。

  • recharts:

    recharts在处理动态数据和响应式设计时表现出色,能够高效地更新图表而不影响性能。

  • victory:

    victory在处理复杂图表时性能较好,但需要注意图表的复杂度和数据量,以避免性能下降。

社区支持

  • react-vis:

    react-vis的社区相对较小,文档也比较简单,适合快速实现基本功能,但在遇到问题时可能缺乏支持。

  • recharts:

    recharts拥有活跃的社区和良好的文档支持,开发者可以轻松找到解决方案和示例。

  • victory:

    victory的社区较大,提供了丰富的文档和示例,开发者可以获得较好的支持和资源。

可定制性

  • react-vis:

    react-vis的可定制性有限,适合快速实现标准图表,但对于复杂的需求可能不够灵活。

  • recharts:

    recharts提供了一定的可定制性,开发者可以通过props轻松调整图表的样式和行为。

  • victory:

    victory提供了高度的可定制性,开发者可以通过多种方式自定义图表的外观和交互,适合复杂的可视化需求。

如何选择: react-vis vs recharts vs victory

  • react-vis:

    选择react-vis如果你需要一个简单易用的库,适合快速原型设计和小型项目。它提供了基本的图表类型和灵活的API,适合快速实现数据可视化。

  • recharts:

    选择recharts如果你需要一个基于React的图表库,支持响应式设计和简单的API。它适合中等复杂度的项目,能够处理动态数据更新,并且具有良好的文档和社区支持。

  • victory:

    选择victory如果你需要一个功能强大且可定制的图表库,适合复杂的可视化需求。它提供了丰富的组件和灵活的配置选项,适合构建复杂的交互式图表和数据可视化。

react-vis的README

deprecated version build build downloads

react-vis | Demos | Docs

A COMPOSABLE VISUALIZATION SYSTEM

demo

NOTE: This repository is now under new management. Please reach out to the new administrators if you have any questions.

Overview

A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, hexagon heatmaps, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.

Some notable features:

  • Simplicity. react-vis doesn't require any deep knowledge of data visualization libraries to start building your first visualizations.
  • Flexibility. react-vis provides a set of basic building blocks for different charts. For instance, separate X and Y axis components. This provides a high level of control of chart layout for applications that need it.
  • Ease of use. The library provides a set of defaults which can be overridden by the custom user's settings.
  • Integration with React. react-vis supports the React's lifecycle and doesn't create unnecessary nodes.

Usage

Install react-vis via npm.

npm install react-vis --save

Include the built main CSS file in your HTML page or via SASS:

@import "~react-vis/dist/style";

You can also select only the styles you want to use. This helps minimize the size of the outputted CSS. Here's an example of importing only the legends styles:

@import "~react-vis/dist/styles/legends";

Import the necessary components from the library...

import {XYPlot, XAxis, YAxis, HorizontalGridLines, LineSeries} from 'react-vis';

… and add the following code to your render function:

<XYPlot
  width={300}
  height={300}>
  <HorizontalGridLines />
  <LineSeries
    data={[
      {x: 1, y: 10},
      {x: 2, y: 5},
      {x: 3, y: 15}
    ]}/>
  <XAxis />
  <YAxis />
</XYPlot>

If you're working in a non-node environment, you can also directly include the bundle and compiled style using basic html tags.

<link rel="stylesheet" href="https://unpkg.com/react-vis/dist/style.css">
<script type="text/javascript" src="https://unpkg.com/react-vis/dist/dist.min.js"></script>

The global reactVis object will now be available for you to play around.

You can checkout these example CodePens: #1, #2, #3 or #4

More information

Take a look at the folder with examples or check out some docs:

Development

Make sure you are using the correct version of node and yarn. To do so, check package.json and find the entry "volta", e.g.

"volta": {
  "node": "14.18.0",
  "yarn": "1.22.4"
}

It's recommanded to install volta to manage node and yarn.

To develop on react-vis, navigate to packages/react-vis, and install the dependencies and then build and watch the static files:

yarn && yarn start

Once complete, you can view the component's example in your browser (will open automatically). Any changes you make to the example code will run the compiler to build the files again.

To run the tests, and create code coverage reports:

yarn cover

Requirements

react-vis makes use of ES6 array methods such as Array.prototype.find. If you make use of react-vis, in an environment without these methods, you'll see errors like TypeError: Server rendering error: Object x,y,radius,angle,color,fill,stroke,opacity,size has no method 'find'. You can use babel-polyfill to polyfill these methods.