Software Alternatives & Reviews

DataMelt VS SwiftCharts - i-schuetz

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

DataMelt logo DataMelt

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

SwiftCharts - i-schuetz logo SwiftCharts - i-schuetz

Easy to use and highly customizable charts library for iOS
  • 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

  • SwiftCharts - i-schuetz Landing page
    Landing page //
    2023-10-15

DataMelt

$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June

Category Popularity

0-100% (relative to DataMelt and SwiftCharts - i-schuetz)
Technical Computing
82 82%
18% 18
Data Dashboard
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Knowledge Search
0 0%
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?
Log in or Post with

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

  1. Great 3D graphics

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

SwiftCharts - i-schuetz Reviews

We have no reviews of SwiftCharts - i-schuetz yet.
Be the first one to post

What are some alternatives?

When comparing DataMelt and SwiftCharts - i-schuetz, you can also consider the following products

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

Core Plot - Cocoa plotting framework for OS X and iOS

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

SwiftChart - Line and area chart library for iOS

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

SwiftCharts - kevinbrewster - Simple, Sexy Line Charts for Mac and iOS