DataMelt reviews. Is DataMelt good?

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DataMelt

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

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

5.0

(1 review)

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Pricing:

Open Source
Freemium
Free Trial

Platforms:

Linux
Windows
Mac OSX
Java
Cross Platform

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Features & 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.

Badges

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Questions & Answers

As answered by people managing DataMelt.

How would you describe the primary audience of DataMelt?

students and data scientists

What's the story behind DataMelt?

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 DataMelt unique?

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose DataMelt over its competitors?

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of DataMelt?

Students at universities and data scientists.

Which are the primary technologies used for building DataMelt?

Java (JDK any new new release including JDK20)

Reviews

J.Mayear

over 6 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

Is DataMelt good?

External links

We have collected here some useful links to help you find out if DataMelt is good.

Public traffic stats of DataMelt

Check the traffic stats of DataMelt on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Domain Rating (DR)

Check the "Domain Rating" of DataMelt on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of DataMelt's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Domain Authority (DA)

Check the "Domain Authority" of DataMelt on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
Public opinion on Reddit

The latest comments about DataMelt on Reddit. This can help you find out how popualr the product is and what people think about it.

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DataMelt