Overview

Highcharts

Stacks1.5K

Followers1.1K

Votes92

go-chart

Stacks1

Followers14

Votes1

GitHub Stars4.0K

Forks336

Highcharts vs go-chart: What are the differences?

Introduction

Highcharts and go-chart are both charting libraries used for creating interactive and visually appealing charts on websites. While they serve the same purpose, there are several key differences between the two.

Rendering and Compatibility: Highcharts is a JavaScript-based charting library that uses SVG to render charts. It is compatible with all modern browsers and offers extensive support for interactivity and animation. On the other hand, go-chart is a Go-based charting library that renders charts as PNG or SVG images. It is primarily used for server-side chart generation and has limited interactivity and animation capabilities.
Ease of Use and Flexibility: Highcharts provides a simple and intuitive API that allows users to quickly create charts with minimal coding. It offers a wide range of pre-built chart types and customization options. In contrast, go-chart has a more complex API with a steeper learning curve. It provides a smaller set of chart types compared to Highcharts but offers more flexibility for advanced customization and data manipulation.
Community and Documentation: Highcharts has a large and active community of developers, resulting in extensive documentation, tutorials, and community support. It also has a wide range of third-party plugins and integrations available. On the other hand, go-chart has a smaller community and a less extensive documentation, which may make it harder to find resources and get support.
Performance and Scalability: Highcharts is optimized for performance and can handle large datasets efficiently. It supports features like lazy loading, data streaming, and asynchronous rendering. Go-chart, being server-side focused, can also handle large datasets but lacks some of the performance optimization techniques provided by Highcharts.
Platform Compatibility: Highcharts can be used in web applications developed in any programming language that supports JavaScript. It provides wrappers for popular frameworks like React, Angular, and Vue.js. Go-chart, being a Go library, can only be used in Go-based web applications, limiting its compatibility across multiple programming languages.
Licensing and Cost: Highcharts is available under both commercial and non-commercial licenses. While the non-commercial license is free, the commercial license requires a purchase. Go-chart, on the other hand, is an open-source library released under the MIT license, making it completely free to use for both commercial and non-commercial purposes.

In summary, Highcharts offers a widely-used, JavaScript-based charting solution with extensive features, ease of use, and a large community support, while go-chart is a Go-based charting library suitable for server-side chart generation with a focus on flexibility and customization options.

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Advice on Highcharts, go-chart

Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

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Comments

Detailed Comparison

Highcharts	go-chart
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.	go chart is a basic charting library in native golang.
It works in all modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6;Free for non-commercial;One of the key features of Highcharts is that under any of the licenses, free or not, you are allowed to download the source code and make your own edits;Pure Javascript - Highcharts is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.	-
Statistics
GitHub Stars -	GitHub Stars 4.0K
GitHub Forks -	GitHub Forks 336
Stacks 1.5K	Stacks 1
Followers 1.1K	Followers 14
Votes 92	Votes 1
Pros & Cons
Pros 34 Low learning curve and powerful 17 Multiple chart types such as pie, bar, line and others 13 Responsive charts 9 Handles everything you throw at it 8 Extremely easy-to-parse documentation Cons 9 Expensive	Pros 1 Free to use
Integrations
No integrations available	Golang

What are some alternatives to Highcharts, go-chart?

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.

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.