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SciDaVis VS Bokeh

Compare SciDaVis VS Bokeh and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SciDaVis logo SciDaVis

SciDAVis is a free application for Scientific Data Analysis and Visualization.

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • SciDaVis Landing page
    Landing page //
    2023-07-27
  • Bokeh Landing page
    Landing page //
    2022-11-01

SciDaVis videos

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Plotting data in SciDAVis

More videos:

  • Review - Plotting data using SciDAVis (open source software)
  • Review - SciDAVis

Bokeh videos

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"Bokeh" - Netflix Film Review

More videos:

Category Popularity

0-100% (relative to SciDaVis and Bokeh)

SciDaVis

Bokeh

Technical Computing
100 100%
Technical Computing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

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

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

SciDaVis Reviews

We have no reviews of SciDaVis yet.
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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.

SciDaVis mentions (0)

We have not tracked any mentions of SciDaVis yet. Tracking of SciDaVis 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: 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: about 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 SciDaVis and Bokeh, you can also consider the following products

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Plotly - Low-Code Data Apps

LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

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...

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