Software Alternatives, Accelerators & Startups

DataMelt VS Grapher

Compare DataMelt VS Grapher and see what are their differences

DataMelt logo DataMelt

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

Grapher logo Grapher

Put Grapher’s powerful graphing and data analysis features to the test and better understand your data. Learn about features and download a free trial.
  • 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

  • Grapher Landing page
    Landing page //
    2023-09-23

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.

Grapher features and specs

  • Ease of Use
    Grapher offers an intuitive user interface that makes it easy for both beginners and experienced users to create detailed graphs without a steep learning curve.
  • Variety of Graph Types
    It provides a wide range of graph types including 2D and 3D plots, catering to various scientific, engineering, and business needs.
  • Customization Options
    Grapher allows for extensive customization of graphs, enabling users to tailor visualizations to their specific requirements.
  • Data Import and Export
    The software supports importing and exporting data in multiple formats, facilitating seamless integration with other tools and datasets.
  • Comprehensive Support
    Grapher users benefit from a strong customer support system and extensive online resources including tutorials and community forums.

Possible disadvantages of Grapher

  • Cost
    Grapher is a paid software, which may be a barrier for individuals or small organizations with limited budgets.
  • System Requirements
    The software might have higher system requirements that could be challenging for users with older hardware.
  • Complexity for Advanced Features
    While easy to start with, using advanced features and functions may require additional learning and experience.
  • Limited Collaboration Features
    Grapher lacks certain collaboration features that might be useful for teams needing shared access to project files and data within the software.
  • Periodic Updates
    Frequent updates can be disruptive as users may have to adapt to new features or interface changes regularly.

Analysis of Grapher

Overall verdict

  • Grapher is a solid choice for professionals who need advanced graphing capabilities. Its comprehensive suite of features, reliability, and ease of use make it a favorite among users who require precise and customizable graphical representations of their data. While it may have a steeper learning curve for beginners, its powerful tools and flexibility make it a worthwhile investment for those in need of detailed data analysis and presentation.

Why this product is good

  • Grapher, developed by Golden Software, is a powerful graphing and analysis program designed for scientists, engineers, and business professionals. It is highly regarded for its versatility in handling complex data sets and producing a wide range of graph types, from simple line graphs to complex 3D surface plots. Users appreciate its user-friendly interface, robust features for customizing graphs, and its ability to import various data formats. The software also allows for extensive customization, providing users with the ability to tailor graphs to their exact specifications and professional standards.

Recommended for

    Grapher is particularly recommended for scientists, engineers, geologists, and business analysts who require accurate and customizable graphing solutions. It is also suitable for professionals who work with large volumes of data and need to produce professional-quality plots and visualizations for reports, presentations, or publications.

DataMelt videos

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Grapher videos

Speed Grapher Review

More videos:

  • Review - Please Watch Speed Grapher - Kirblog 4/5/16
  • Review - Speed Grapher Review

Category Popularity

0-100% (relative to DataMelt and Grapher)
Technical Computing
67 67%
33% 33
Data Visualization
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Data Dashboard
0 0%
100% 100

Questions and Answers

As answered by people managing DataMelt and Grapher.

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

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Reviews

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

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

Grapher Reviews

We have no reviews of Grapher yet.
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What are some alternatives?

When comparing DataMelt and Grapher, you can also consider the following products

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

SAP BusinessObjects Predictive Analytics - SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

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

Google Chart Tools - Google Chart Tools is a world’s most popular tool that allows users to display their data on their website via simple or attractive visualizations.

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

Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.