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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Bokeh vs Google Charts

Bokeh vs Google Charts

OverviewComparisonAlternatives

Overview

Google Charts
Google Charts
Stacks122
Followers214
Votes0
Bokeh
Bokeh
Stacks95
Followers183
Votes12
GitHub Stars20.2K
Forks4.2K

Bokeh vs Google Charts: What are the differences?

Bokeh: *An interactive visualization library *. It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications; Google Charts: *A Web service that creates graphical charts *. 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.

Bokeh and Google Charts can be categorized as "Charting Libraries" tools.

Some of the features offered by Bokeh are:

  • interactive visualization library
  • targets modern web browsers for presentation
  • versatile graphics

On the other hand, Google Charts provides the following key features:

  • charts
  • visualization
  • pie-chart

Index.co, Kudos, and Undisclosed, Do Not Contact or Spam Please are some of the popular companies that use Google Charts, whereas Bokeh is used by Solebrity, Inc., Arch Systems Inc, and Sonadus. Google Charts has a broader approval, being mentioned in 6 company stacks & 7 developers stacks; compared to Bokeh, which is listed in 4 company stacks and 7 developer stacks.

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Detailed Comparison

Google Charts
Google Charts
Bokeh
Bokeh

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.

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.

charts; visualization; pie-chart; bar-chart; svg; animation;
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
122
Stacks
95
Followers
214
Followers
183
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 12
    Beautiful Interactive charts in seconds
Integrations
No integrations available
Bootstrap
Bootstrap
Flask
Flask
NGINX
NGINX
React
React
Django
Django
Python
Python
Jupyter
Jupyter
Tornado
Tornado
Streamlit
Streamlit

What are some alternatives to Google Charts, Bokeh?

D3.js

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

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

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

Chart.js

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

Recharts

Recharts

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

ECharts

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

ZingChart

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

amCharts

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

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

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.

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