DataMelt VS SwiftCharts - i-schuetz

Compare DataMelt VS SwiftCharts - i-schuetz and see what are their differences

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DataMelt

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

SwiftCharts - i-schuetz

Easy to use and highly customizable charts library for iOS

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

Landing page //
2023-10-15

DataMelt

Website: datamelt.org
$ Details: freemium
Platforms: Linux Windows Mac OSX Java Cross Platform
Release Date: 2020 June

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SwiftCharts - i-schuetz

Website: github.com
$ Details: -
Platforms: -
Release Date: -

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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.

SwiftCharts - i-schuetz features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to DataMelt and SwiftCharts - i-schuetz)

DataMelt

SwiftCharts - i-schuetz

Technical Computing

83 83%

Technical Computing

17% 17

Data Dashboard

0 0%

Data Dashboard

100% 100

Numerical Computation

100 100%

Numerical Computation

0% 0

Knowledge Search

0 0%

Knowledge Search

100% 100

Questions and Answers

As answered by people managing DataMelt and SwiftCharts - i-schuetz.

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 SwiftCharts - i-schuetz. For example, how are they different and which one is better?

Reviews

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

DataMelt Reviews

J.Mayear

over 5 years ago

Great 3D graphics

I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples