Software Alternatives, Accelerators & Startups

DataMelt VS DataGraph

Compare DataMelt VS DataGraph and see what are their differences

DataMelt logo DataMelt

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

DataGraph logo DataGraph

DataGraph is a simple and powerful graphing application for Mac OS X.
  • 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

  • DataGraph Landing page
    Landing page //
    2023-03-13

DataMelt features and specs

  • Versatility
    DataMelt supports a wide range of programming languages including Java, Jython, Groovy, and JRuby, making it versatile for users familiar with different coding environments.
  • Rich Libraries
    It offers a comprehensive set of scientific libraries for numerical computation, data analysis, and visualization, which can be beneficial for complex scientific research and data processing tasks.
  • Cross-Platform
    DataMelt is platform-independent, running on any operating system that supports Java, such as Windows, macOS, and Linux. This makes it accessible to a wide audience.
  • Integrated Development Environment
    DataMelt provides a powerful IDE that integrates coding, plotting, and visualization tools, streamlining the workflow for developers and researchers.
  • Free and Open Source
    The core functionality of DataMelt is available for free, which can be appealing to individuals and organizations looking for budget-friendly computational tools.

DataGraph features and specs

No features have been listed yet.

Analysis of DataGraph

Overall verdict

  • DataGraph is a solid, purpose-built data visualization and graphing application for macOS that offers powerful plotting and analysis capabilities, making it a good choice for scientists and researchers who need publication-quality graphs.

Why this product is good

  • Produces high-quality, publication-ready graphs suitable for scientific papers and presentations
  • Handles large datasets efficiently with a wide range of plot types and customization options
  • Native macOS application with an intuitive drag-and-drop interface
  • Includes built-in tools for curve fitting, data analysis, and statistical calculations
  • One-time purchase option and reasonable pricing compared to some competitors
  • Regular updates and responsive developer support

Recommended for

  • Scientists and researchers needing publication-quality figures
  • Academics and students working with experimental or numerical data
  • macOS users who prefer a native, non-subscription visualization tool
  • Professionals who need advanced curve fitting and data analysis alongside graphing
  • Anyone working with large datasets requiring flexible, customizable plots

DataMelt videos

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DataGraph videos

Create a second Y-Axis using DataGraph: Monthly Climate Data

More videos:

  • Review - Allen Datagraph - Set Up

Category Popularity

0-100% (relative to DataMelt and DataGraph)
Technical Computing
84 84%
16% 16
Office & Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Tool
100 100%
0% 0

Questions & Answers

As answered by people managing DataMelt and DataGraph.

How would you describe the primary audience of your product?

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

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DataMelt and DataGraph

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

DataGraph Reviews

We have no reviews of DataGraph yet.
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What are some alternatives?

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

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

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

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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.

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