Software Alternatives & Reviews
Register | Login
g

ggvis VS Bokeh

Compare ggvis VS Bokeh and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ggvis logo ggvis

ggvis is a data visualization package for R which lets you create rich interactive graphics that...

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • ggvis Landing page
    Landing page //
    2019-08-25
  • Bokeh Landing page
    Landing page //
    2022-11-01

ggvis videos

No ggvis videos yet. You could help us improve this page by suggesting one.

+ Add video

Bokeh videos

+ Add

"Bokeh" - Netflix Film Review

More videos:

Category Popularity

0-100% (relative to ggvis and Bokeh)

ggvis

Bokeh

Data Visualization
22 22%
Data Visualization
78% 78
Charting Libraries
9 9%
Charting Libraries
91% 91
Data Dashboard
24 24%
Data Dashboard
76% 76
Business Intelligence
100 100%
Business Intelligence
0% 0

User comments

Share your experience with using ggvis and Bokeh. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

ggvis Reviews

We have no reviews of ggvis yet.
Be the first one to post

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

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.

ggvis mentions (0)

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

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 / about 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

What are some alternatives?

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

Plotly - Low-Code Data Apps

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

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.

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.

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

Loading...