Bokeh vs Highcharts

Overview

Highcharts

Stacks1.5K

Followers1.1K

Votes92

Bokeh

Stacks95

Followers183

Votes12

GitHub Stars20.2K

Forks4.2K

Bokeh vs Highcharts: What are the differences?

Integration with programming languages: Bokeh can be seamlessly integrated with Python, making it a preferred choice for data scientists and Python developers. On the other hand, Highcharts is primarily written in JavaScript and works well with web development technologies like HTML, CSS, and JavaScript.
Customization options: Bokeh provides a higher degree of customization options, including advanced plotting tools and vector graphic export capabilities. Highcharts, although feature-rich, may have limitations in terms of customization when compared to Bokeh.
Community support and resources: Highcharts has a larger community base and extensive documentation, making it easier to find examples, tutorials, and support online. Bokeh, being a Python library, also has a supportive community but may not be as extensive as Highcharts.
License and pricing: Bokeh is an open-source library that is distributed under the BSD-3-Clause license, making it free for commercial and non-commercial use. Highcharts, on the other hand, has different licensing options, including a free for non-commercial use license and commercial licenses for enterprise use.
Performance and rendering: Highcharts is known for its performance and rendering speed, especially when dealing with a large amount of data. Bokeh, while capable of handling complex visualizations, may not match the speed and efficiency of Highcharts in certain scenarios.
Chart types and features: Highcharts offers a wide variety of chart types and features out of the box, making it a versatile choice for creating different types of visualizations. Bokeh, while also versatile, may require more manual interventions to achieve certain complex chart types or features that are readily available in Highcharts.

In Summary, Bokeh and Highcharts differ in their integration with programming languages, customization options, community support, licensing, performance, and chart types and features available.

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CLI (Node.js)

Manual

Advice on Highcharts, Bokeh

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	Bokeh
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.	Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
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.	interactive visualization library ; versatile graphics ; open source; https://github.com/bokeh/bokeh
Statistics
GitHub Stars -	GitHub Stars 20.2K
GitHub Forks -	GitHub Forks 4.2K
Stacks 1.5K	Stacks 95
Followers 1.1K	Followers 183
Votes 92	Votes 12
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 12 Beautiful Interactive charts in seconds
Integrations
No integrations available	Bootstrap Flask NGINX React Django Python Jupyter Tornado Streamlit

What are some alternatives to Highcharts, Bokeh?

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.

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Related Comparisons

Bokeh vs Highcharts: What are the differences?

Integration with programming languages: Bokeh can be seamlessly integrated with Python, making it a preferred choice for data scientists and Python developers. On the other hand, Highcharts is primarily written in JavaScript and works well with web development technologies like HTML, CSS, and JavaScript.
Customization options: Bokeh provides a higher degree of customization options, including advanced plotting tools and vector graphic export capabilities. Highcharts, although feature-rich, may have limitations in terms of customization when compared to Bokeh.
Community support and resources: Highcharts has a larger community base and extensive documentation, making it easier to find examples, tutorials, and support online. Bokeh, being a Python library, also has a supportive community but may not be as extensive as Highcharts.
License and pricing: Bokeh is an open-source library that is distributed under the BSD-3-Clause license, making it free for commercial and non-commercial use. Highcharts, on the other hand, has different licensing options, including a free for non-commercial use license and commercial licenses for enterprise use.
Performance and rendering: Highcharts is known for its performance and rendering speed, especially when dealing with a large amount of data. Bokeh, while capable of handling complex visualizations, may not match the speed and efficiency of Highcharts in certain scenarios.
Chart types and features: Highcharts offers a wide variety of chart types and features out of the box, making it a versatile choice for creating different types of visualizations. Bokeh, while also versatile, may require more manual interventions to achieve certain complex chart types or features that are readily available in Highcharts.

In Summary, Bokeh and Highcharts differ in their integration with programming languages, customization options, community support, licensing, performance, and chart types and features available.

Bokeh vs Highcharts

Overview