Overview

Google Charts

Stacks122

Followers214

Votes0

ApexCharts

Stacks135

Followers238

Votes16

GitHub Stars15.0K

Forks1.4K

ApexCharts vs Google Charts: What are the differences?

ApexCharts and Google Charts are two popular charting libraries used for creating interactive and visually appealing charts on websites. While both offer similar functionalities, there are several key differences between the two.

Customizability: ApexCharts offers a high level of customizability with a wide range of options to configure the appearance and behavior of charts. It provides more flexibility in terms of colors, gradients, border styles, and animations. On the other hand, Google Charts provides a more streamlined approach with limited customization options, making it easier to implement but less flexible for highly customized designs.
Data Handling: ApexCharts provides more advanced data handling capabilities compared to Google Charts. It allows for dynamic updating and real-time streaming of data, making it suitable for applications that require live data visualization. Google Charts, on the other hand, relies on static data and does not provide built-in support for real-time updates.
Chart Types: ApexCharts offers a larger variety of chart types compared to Google Charts. It includes a comprehensive set of options for different chart types such as line, area, bar, column, pie, radar, and more. Google Charts, although provides a decent range of chart types, has a more limited selection compared to ApexCharts.
Documentation and Community Support: Google Charts has been around for a longer time and has extensive documentation and a large community of users. It offers detailed examples, tutorials, and troubleshooting resources, making it easier for developers to get started and find solutions to potential issues. While ApexCharts also has documentation and community support, it may not be as extensive as Google Charts.
Integration and Compatibility: ApexCharts is designed to work seamlessly with modern JavaScript frameworks and libraries such as React, Vue, and Angular. It provides dedicated plugins and comprehensive documentation for integration into these frameworks. Google Charts, on the other hand, has a wider compatibility range with support for older browsers and legacy systems, making it a better choice for projects that require broad platform compatibility.
License and Pricing: ApexCharts uses the MIT license, which allows for free and open-source usage in both commercial and non-commercial projects. Google Charts, although free to use, has some limitations and restrictions for commercial usage. Additional features and support may require a paid license, making it less suitable for budget-constraint projects.

In Summary, ApexCharts offers more customizability, advanced data handling capabilities, a wider range of chart types, while Google Charts provides better documentation and community support, wider compatibility, and a simpler licensing model.

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Detailed Comparison

Google Charts	ApexCharts
It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.	A modern JavaScript charting library to build interactive charts and visualizations with simple API.
charts; visualization; pie-chart; bar-chart; svg; animation;	-
Statistics
GitHub Stars -	GitHub Stars 15.0K
GitHub Forks -	GitHub Forks 1.4K
Stacks 122	Stacks 135
Followers 214	Followers 238
Votes 0	Votes 16
Pros & Cons
No community feedback yet	Pros 4 Provides zooming capabilities 4 Interactive charts 3 Graphs renders in SVG 3 Open source with MIT license 2 Multiple chart types such as pie, bar, line and others Cons 4 Slow rendering
Integrations
No integrations available	Vue.js React Angular

What are some alternatives to Google Charts, ApexCharts?

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.