Software Alternatives & Reviews

GnuPlot VS Bokeh

Compare GnuPlot VS Bokeh and see what are their differences

GnuPlot logo GnuPlot

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

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • GnuPlot Landing page
    Landing page //
    2022-12-13
  • Bokeh Landing page
    Landing page //
    2022-11-01

GnuPlot videos

Gnuplot Introduction

More videos:

  • Review - DTrace Latency Visualization in gnuplot
  • Review - Basics of Gnuplot - Make your plot look Good

Bokeh videos

"Bokeh" - Netflix Film Review

More videos:

Category Popularity

0-100% (relative to GnuPlot and Bokeh)
Technical Computing
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Data Visualization
51 51%
49% 49

User comments

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Reviews

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

GnuPlot Reviews

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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...

Social recommendations and mentions

Bokeh might be a bit more popular than GnuPlot. We know about 5 links to it since March 2021 and only 5 links to GnuPlot. 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.

GnuPlot mentions (5)

  • Question about Project Management
    To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 1 year ago
  • How do I make a transparent background on .ps or .eps file imported to groff
    Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: about 1 year ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: about 1 year ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 1 year ago
  • Introducing Graphs
    Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 1 year ago

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

What are some alternatives?

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

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

Plotly - Low-Code Data Apps

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

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.

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

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