6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

jopen 11年前發布 | 8K 次閱讀 圖表 JavaScript

1. Aristochart

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

Aristochart is absolutely one of the best toolkits accessible for generating diagrams and graphics. The greatest thing is that is can be modified and is very springy line charting library. Your emphasis can endure on artistic and Aristochart can take care of the back-end statistics.

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2. JKit

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

Kit, is certainly a calm to use toolkit. It is a cross platform and jQuery based toolkit. Though its trivial in size but will provide you all the desirable features. It makes life modest and eliminates difficulties from the development method.

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3. Morris.js

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

Morris.js is one of the most proficient JavaScript toolkits. It is mainly a library that governs the charts. Morris.js is a modest API and it is for drawling stripe, bar, region and of course donut graphs. You will discover how expedient this is after using it.

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4. jqPlot

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

jqPlot is chiefly a charting plugin and it generates some lovely pie, line and bar charts. It has a lot of features and provides inclusive multiplicity of chart styles, provides customizable structuring and a lot more. It has been verified on all prominent web browsers such IE 7 and ahead, Opera, safari and Firefox.

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5. Highcharts

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

This is principally a projecting library and is inscribed completely in clean JavaScript. This will provide you collaborating graphs for your website. Highcharts provisions most of the graph categories and it comprises bar, column, line, spline, and a lot more.

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6. Dygraphs JavaScript Visualization Library

6個最好的JavaScript工具包,以幫助開發人員簡化創建圖表和圖形

Creating collaborating, zoomable diagrams is not a cool job. Though, dygraphs can certainly aid you in carrying out this. It is fundamentally an open source JavaScript library that shows to be valuable. It is essentially intended to show slid data and customers can clearly discover the data in order to understand it.

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