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DataMelt VS OriginPro

Compare DataMelt VS OriginPro and see what are their differences

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DataMelt logo DataMelt

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

OriginPro logo OriginPro

OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.
  • 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

  • OriginPro Landing page
    Landing page //
    2022-09-01

Category Popularity

0-100% (relative to DataMelt and OriginPro)

DataMelt

OriginPro

Technical Computing
44 44%
Technical Computing
56% 56
Numerical Computation
39 39%
Numerical Computation
61% 61
Office & Productivity
50 50%
Office & Productivity
50% 50
Data Dashboard
0 0%
Data Dashboard
100% 100

Questions and Answers

As answered by people managing DataMelt and OriginPro.

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 DataMelt and OriginPro. 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 DataMelt and OriginPro

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

OriginPro Reviews

9 Best Analysis Software for PC 2023
OriginPro is a data analysis software that is the latest version of Origin Software. OriginPro software has a spreadsheet front end. Unlike other common spreadsheets, OriginPro's worksheet is column-oriented. Each software column has associated attributes; name, units, and other user-definable labels.
Source: pdf.wps.com

What are some alternatives?

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

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.

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

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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