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DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

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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 …

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | datamelt.org | systatsoftware.com |
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| Company | 2020 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
No description of SigmaPlot yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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SigmaPlot 12 Overview Presentation with Richard Mitchell / Systat Software
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DataMelt and SigmaPlot.
DataMelt's answer
students and data scientists
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.
DataMelt's answer
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer
Students at universities and data scientists.
DataMelt's answer
Java (JDK any new new release including JDK20)
Share your experience with using DataMelt and SigmaPlot. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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