Bokeh VS Google Charts

Bokeh

Bokeh visualization library, documentation site.

Google Charts

Interactive charts for browsers and mobile devices.

Landing page //
2022-11-01

Landing page //
2023-05-10

"Bokeh" - Netflix Film Review

Google Charts videos

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Data Visualization for the Web Using Google Charts

Category Popularity

0-100% (relative to Bokeh and Google Charts)

Google Charts

Charting Libraries

22 22%

Charting Libraries

78% 78

Data Dashboard

13 13%

Data Dashboard

87% 87

Data Visualization

15 15%

Data Visualization

85% 85

Development

100 100%

Development

0% 0

User comments

Share your experience with using Bokeh and Google Charts. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Bokeh and Google Charts

Bokeh Reviews

Top 8 Python Libraries for Data Visualization

Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...

Source: www.geeksforgeeks.org

Google Charts Reviews

15 JavaScript Libraries for Creating Beautiful Charts

Google Charts also comes with various customization options that help in changing the look of the graph. Charts are rendered using HTML5/SVG to provide cross-browser compatibility and cross-platform portability to iPhones, iPads, and Android. It also includes VML for supporting older IE versions.

Source: www.sitepoint.com

Top 10 JavaScript Charting Libraries for Every Data Visualization Need

Google Charts is an excellent choice for projects that do not require complicated customization and prefer simplicity and stability.

Source: hackernoon.com

A Complete Overview of the Best Data Visualization Tools

Google Charts is a powerful, free data visualization tool that is specifically for creating interactive charts for embedding online. It works with dynamic data and the outputs are based purely on HTML5 and SVG, so they work in browsers without the use of additional plugins. Data sources include Google Spreadsheets, Google Fusion Tables, Salesforce, and other SQL databases.

Source: www.toptal.com

The Best Data Visualization Tools - Top 30 BI Software

Google Charts runs on SVG and HTML5, aiming for Android, iOS and total cross-browser compatibility, including older versions of Internet Explorer. All of the charts you can create are interactive and you may be able zoom in on some of them. The site offers a fairly comprehensive gallery where you can find a variety of types of visualizations and interactions that you can use.

Source: improvado.io

Social recommendations and mentions

Based on our record, Google Charts should be more popular than Bokeh. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bokeh mentions (5)

[OC] Chemical Diversity of The GlobalChem Common Chemical Universe
Visualization: https://docs.bokeh.org/en/latest/. Source: almost 2 years ago
Profiling workflows with the Amazon Genomics CLI
Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 2 years ago
10 Python Libraries For Data Visualization
Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 2 years ago
Graphic library Bokeh is underrated and underdocumented
It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 3 years ago
Help with Bokeh Interactive Plot
Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 3 years ago

Google Charts mentions (10)

The top 11 React chart libraries for data visualization
This library leverages the robustness of Google’s chart tools combined with a React-friendly experience. It is ideal for developers familiar with Google’s visualization ecosystem. - Source: dev.to / 7 months ago
Using Images in a chart?
I tried adding the images as labels and it didn't work. If this is possible at all, it would probably require Google Charts. Source: about 1 year ago
What are some good graph visualization libraries?
Google's is a bit simpler to work with but more basic in terms of features https://developers.google.com/chart. Source: over 1 year ago
5 Best Free JS Chart Libraries
Google charts Https://developers.google.com/chart. - Source: dev.to / over 1 year ago
Suggestions for super simple QR code generator
I did find a nice solution for Access forms where you can use a web browser control and developers.google.com/chart to render a QR code in that control based on the contents of other controls (textboxes, comboboxes, etc.,.). This would be perfect if it didn't a) rely on an active WAN connection and b) rely on that specific URL being active indefinitely. Source: almost 2 years ago