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SigmaPlot VS DataMelt

Compare SigmaPlot VS DataMelt and see what are their differences

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SigmaPlot logo SigmaPlot

SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface for all your statistical analysis and graphing needs that takes you beyond simple spreadsheets and helps you to produce high-quality graphs without …

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • SigmaPlot Landing page
    Landing page //
    2022-12-13
  • 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

SigmaPlot videos

+ Add

SigmaPlot 12 Overview Presentation with Richard Mitchell / Systat Software

More videos:

  • Review - Performing a one-way ANOVA in SigmaPlot 13
  • Demo - SigmaPlot quick demo

DataMelt videos

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

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Category Popularity

0-100% (relative to SigmaPlot and DataMelt)

SigmaPlot

DataMelt

Technical Computing
49 49%
Technical Computing
51% 51
Office & Productivity
50 50%
Office & Productivity
50% 50
Numerical Computation
38 38%
Numerical Computation
62% 62
Business & Commerce
100 100%
Business & Commerce
0% 0

Questions and Answers

As answered by people managing SigmaPlot 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 SigmaPlot 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 SigmaPlot and DataMelt

SigmaPlot Reviews

We have no reviews of SigmaPlot 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 SigmaPlot and DataMelt, you can also consider the following products

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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

OriginLab - OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

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

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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