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YoshinoGraph VS DataMelt

Compare YoshinoGraph VS DataMelt and see what are their differences

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Contents:
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  2. » Reviews
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YoshinoGraph logo YoshinoGraph

YoshinoGraph is a graph software that enables scientists, researchers, and university students to make 2D and 3D graphs of the scientific data they had collected from different experiments and observations.

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • YoshinoGraph Landing page
    Landing page //
    2023-09-01
  • 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

YoshinoGraph

Website
yoshinograph.jpn.org
Pricing URL
Official YoshinoGraph Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

DataMelt

Website
datamelt.org
Pricing URL
-
$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June
Edit details

Category Popularity

0-100% (relative to YoshinoGraph and DataMelt)

YoshinoGraph

DataMelt

Numerical Computation
27 27%
Numerical Computation
73% 73
Technical Computing
22 22%
Technical Computing
78% 78
Tool
34 34%
Tool
66% 66
Office & Productivity
0 0%
Office & Productivity
100% 100

Questions and Answers

As answered by people managing YoshinoGraph 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 YoshinoGraph 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 YoshinoGraph and DataMelt

YoshinoGraph Reviews

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

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.

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

Origin - Origin is your new digital playground. It’s where you go to find the best that EA has to offer.

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

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

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