Software Alternatives, Accelerators & Startups

CODAP VS GnuPlot

Compare CODAP VS GnuPlot and see what are their differences

CODAP logo CODAP

CODAP is free educational software for data analysis.

GnuPlot logo GnuPlot

Gnuplot is a portable command-line driven interactive data and function plotting utility.
  • CODAP Landing page
    Landing page //
    2019-11-11
  • GnuPlot Landing page
    Landing page //
    2022-12-13

CODAP videos

codap dotplot to histogram

More videos:

  • Review - A Roller Coaster Investigation via CODAP
  • Review - CODAP 2020 VERSION FINALE

GnuPlot videos

Gnuplot Introduction

More videos:

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

Category Popularity

0-100% (relative to CODAP and GnuPlot)
Project Management
100 100%
0% 0
Technical Computing
0 0%
100% 100
Spreadsheets
100 100%
0% 0
Numerical Computation
0 0%
100% 100

User comments

Share your experience with using CODAP and GnuPlot. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, GnuPlot 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.

CODAP mentions (0)

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

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: over 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: over 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

What are some alternatives?

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

fcitx - Fcitx ['fa?t?ks] is a input method framework with extension support.

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

iBus - Intelligent Input Bus.

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

scim - Download Smart Common Input Method platform for free.

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