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Chart VS DataMelt

Compare Chart VS DataMelt and see what are their differences

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Chart logo Chart

Create the most popular types of charts by real or random data - GitHub - pavelkuligin/chart: Create the most popular types of charts by real or random data

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • Chart Landing page
    Landing page //
    2022-11-06
  • 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

Chart

Website
github.com
$ Details
Platforms
-
Release Date
-
Edit details

DataMelt

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

Chart features and specs

No features have been listed yet.

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.

Chart videos

+ Add

Retrospective Chart Review Research: Get it Right to Get it Published #1

More videos:

  • Review - Chart Reviews for Independent Healthcare Practices
  • Review - Medical Chart Review Made Easy

DataMelt videos

No DataMelt videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Chart and DataMelt)

Chart

DataMelt

Data Visualization
100 100%
Data Visualization
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

Questions & Answers

As answered by people managing Chart and DataMelt.

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 Chart and DataMelt

Chart Reviews

We have no reviews of Chart yet.
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DataMelt Reviews

  1. J.Mayear
    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 Chart and DataMelt, you can also consider the following products

Google Charts - Interactive charts for browsers and mobile devices.

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

Plot Agents - Plot Agents - Transform your data into stunning charts instantly. No coding required. Create 200+ types of charts with AI-powered tools.

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

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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.

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