Bokeh VS RGraph

Bokeh

Bokeh visualization library, documentation site.

RGraph

RGraph is a HTML5 canvas graph library.

Landing page //
2022-11-01

Landing page //
2023-07-31

Bokeh videos

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"Bokeh" - Netflix Film Review

RGraph videos

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Category Popularity

0-100% (relative to Bokeh and RGraph)

RGraph

Charting Libraries

66 66%

Charting Libraries

34% 34

Data Visualization

81 81%

Data Visualization

19% 19

Development

45 45%

Development

55% 55

Data Dashboard

100 100%

Data Dashboard

0% 0

User comments

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Reviews

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

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

RGraph Reviews

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Social recommendations and mentions

Based on our record, Bokeh seems to be more popular. It has been mentiond 5 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: about 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