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Bokeh VS ggvis

Compare Bokeh VS ggvis and see what are their differences

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Bokeh logo Bokeh

Bokeh visualization library, documentation site.

ggvis logo ggvis

ggvis is a data visualization package for R which lets you create rich interactive graphics that...
  • Bokeh Landing page
    Landing page //
    2022-11-01
  • ggvis Landing page
    Landing page //
    2019-08-25

Bokeh videos

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"Bokeh" - Netflix Film Review

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ggvis videos

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Category Popularity

0-100% (relative to Bokeh and ggvis)

Bokeh

ggvis

Charting Libraries
91 91%
Charting Libraries
9% 9
Data Visualization
78 78%
Data Visualization
22% 22
Data Dashboard
76 76%
Data Dashboard
24% 24
Development
100 100%
Development
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 ggvis

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

ggvis 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: 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

ggvis mentions (0)

We have not tracked any mentions of ggvis yet. Tracking of ggvis recommendations started around Mar 2021.

What are some alternatives?

When comparing Bokeh and ggvis, you can also consider the following products

Plotly - Low-Code Data Apps

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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