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DataMelt VS Maple

Compare DataMelt VS Maple 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.

Maple logo Maple

Considered the leading mathematical software, Maple intertwines the world’s most advanced math engine with a user-friendly interface.
  • 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

  • Maple Landing page
    Landing page //
    2021-12-16

DataMelt

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

Maple

Website
maplesoft.com
Pricing URL
Official Maple Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

DataMelt videos

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Maple videos

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Tim Reviews the MAPLE AIRSOFT SUPPLY M4 AEG!

More videos:

  • Review - Whisky Review/Tasting: Crown Royal Maple
  • Review - Pearl Masters Maple Gum Review

Category Popularity

0-100% (relative to DataMelt and Maple)

DataMelt

Maple

Technical Computing
28 28%
Technical Computing
72% 72
Numerical Computation
26 26%
Numerical Computation
74% 74
Office & Productivity
100 100%
Office & Productivity
0% 0
Math Solver
0 0%
Math Solver
100% 100

Questions and Answers

As answered by people managing DataMelt and Maple.

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 Maple. 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 Maple

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

Maple Reviews

10 Best MATLAB Alternatives [For Beginners and Professionals]
Next that comes in our list is Maple from Maplesoft. It’s an essential mathematical tool for education, engineering, and research.
Source: thetechtop10.com
6 MATLAB Alternatives You Could Use
Having a powerful Math engine, Maple is a pretty feature heavy MATLAB alternative. It lets you enter problems in traditional mathematical notation, and allows creation of custom interfaces. Maple includes a dynamically typed, imperative-style programming language, identical to Pascal. And of course, it can interface with other languages (e.g. C, Java) as well. It has over...
Source: beebom.com

What are some alternatives?

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

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

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

GNU Octave - GNU Octave is a programming language for scientific computing.

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