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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

Pricing:
  • Open Source
  • Freemium
  • Free Trial
Platforms:
  • Linux
  • Windows
  • Mac OSX
  • Java
  • Cross Platform
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#Technical Computing #Numerical Computation #Data Dashboard #Machine Data Analytics #Statistics #Data Visualization #Predictive Analytics

DataMelt Reviews and details

Screenshots and images

  • DataMelt Landing page
    Landing page //
    2019-07-18

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Reviews

  1. User avatar
     
    Great 3D graphics

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

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Questions & Answers

As answered by people managing DataMelt.

  1. How would you describe your primary audience?

    students and data scientists

  2. 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.

  3. What makes DataMelt unique?

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

  4. Why should a person choose DataMelt over its competitors?

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

  5. Who are some of the biggest customers of DataMelt?

    Students at universities and data scientists.

  6. Which are the primary technologies used for building your product?

    Java (JDK any new new release including JDK20)

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datamelt.org

This is an informative page about DataMelt. You can review and discuss the product here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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