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MagicPlot VS DataMelt

Compare MagicPlot VS DataMelt and see what are their differences

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MagicPlot logo MagicPlot

MagicPlot is a lightweight application for scientific and engineering data analysis, graphing, nonlinear curve fitting and multi-peak fitting.

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • MagicPlot Landing page
    Landing page //
    2021-10-19
  • DataMelt Landing page
    Landing page //
    2019-07-18

DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt

Category Popularity

0-100% (relative to MagicPlot and DataMelt)

MagicPlot

DataMelt

Technical Computing
29 29%
Technical Computing
71% 71
Numerical Computation
35 35%
Numerical Computation
65% 65
Education & Reference
100 100%
Education & Reference
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

Questions and Answers

As answered by people managing MagicPlot and DataMelt.

How would you describe your primary audience?

DataMelt's answer:

students and data scientists

What's the story behind your product?

DataMelt's answer:

DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.

What makes your product unique?

DataMelt's answer:

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose your product over its competitors?

DataMelt's answer:

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of your product?

DataMelt's answer:

Students at universities and data scientists.

Which are the primary technologies used for building your product?

DataMelt's answer:

Java (JDK any new new release including JDK20)

User comments

Share your experience with using MagicPlot and DataMelt. 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 MagicPlot and DataMelt

MagicPlot Reviews

We have no reviews of MagicPlot yet.
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DataMelt Reviews

  1. Great 3D graphics

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

What are some alternatives?

When comparing MagicPlot and DataMelt, you can also consider the following products

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

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

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

Origin - Origin is your new digital playground. It’s where you go to find the best that EA has to offer.

Aveloy Graph - Aveloy Graph is an application for graph creation / data visualization

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

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