DataMelt

DataMelt is a computational environment that allows you to perform data analysis, mathematical and statistical calculations using scripting languages (Python/Jython, BeanShell, Groovy, JRuby, Matlab/Octave) on the Java and Android platforms.

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7.0/10 (Expert Score) ★★★★★
Product is rated as #37 in category Statistical Analysis Software
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DataMelt is a computational environment that allows you to perform data analysis, mathematical and statistical calculations using scripting languages (Python/Jython, BeanShell, Groovy, JRuby, Matlab/Octave) on the Java and Android platforms.

DataMelt
DataMelt

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Customer Reviews

DataMelt Reviews

Timothy L.

Advanced user of DataMelt
★★★★★
Good Free Data Analysis Tool

What do you like best?

DataMelt is a good open source software that has the basic components in order to do data analysis, numeric computation, statistic analysis, and graphing of the corresponding results. It is good for integration with Python/Java for improved analysis and data overlay. There is a community forum to tackle more difficult issues, but the forum is not large enough for unique issues. Another benefit is that it can be used on any hardware.

What do you dislike?

It is a more advanced type of program that is difficult for beginners to utilize. There is not much aid for those that have no type of data analysis or coding experience and is thus not recommended for them. A minor con of this software is there is a small fee for a large amount of documentation for examples that would be beneficial for some users. Still, there is an online manual but it is not comprehensive.

Recommendations to others considering the product:

My recommendation is the same as my answer above, which is this software should only be used by advanced users in programming and data analysis. Those that do not have this experience will not be able to use the software appropriately and should explore more basic options or sources.

What problems are you solving with the product? What benefits have you realized?

DataMelt is mainly being utilized to analyze data and code associated with research products. Again, it is pretty powerful in these concepts for more advanced users. Its output are also sometimes better than other software options.

Review source: G2.com

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