DataMelt VS Graph

Compare DataMelt VS Graph and see what are their differences

Electe

Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

DataMelt

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

Graph

Graph is an open source application used to draw mathematical graphs in a coordinate system.

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

Landing page //
2021-10-19

DataMelt

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

Edit details

Graph

Website: padowan.dk
$ Details: -
Platforms: -
Release Date: -

Edit details

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.

Graph features and specs

User-Friendly Interface
The Graph software provides a clean and intuitive interface, making it easy for users to create plots and graphs without extensive technical knowledge.
Range of Functionality
Graph supports a variety of mathematical computations, including functions, scatter plots, and bar graphs, providing versatility for different types of data visualization needs.
Lightweight
The software is lightweight and does not consume significant system resources, ensuring that it runs smoothly even on older hardware.
Free to Use
Graph is available for free, making it accessible to a wide range of users, from students to professionals, without any cost barrier.
Customization Options
Graph offers customization options for graphs, such as color schemes and axes adjustments, allowing users to tailor their visuals to specific presentation needs.

Possible disadvantages of Graph

Limited Advanced Features
While suitable for basic plotting, Graph lacks some advanced features and capabilities found in more sophisticated data visualization software.
Windows Only
Graph is only available for Windows operating systems, restricting its usage for individuals using macOS or Linux systems.
Sparse Documentation
The available documentation and user support can be limited, potentially posing challenges for new users who may need more detailed guides and troubleshooting help.
No Real-Time Collaboration
Graph does not support real-time collaboration features, which could be a drawback for team environments where collaborative work on data visualization is required.
Outdated Interface
The user interface, while functional, may appear outdated compared to newer software offerings, lacking some modern design elements and interactions.

DataMelt videos

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

Add video

Graph videos

+ Add

Monopoly Graph Review and Practice- Micro Topic 4.2

Category Popularity

0-100% (relative to DataMelt and Graph)

DataMelt

Graph

Technical Computing

54 54%

Technical Computing

46% 46

Numerical Computation

43 43%

Numerical Computation

57% 57

Office & Productivity

78 78%

Office & Productivity

22% 22

Data Visualization

36 36%

Data Visualization

64% 64

Questions and Answers

As answered by people managing DataMelt and Graph.

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 Graph. For example, how are they different and which one is better?

Reviews

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

DataMelt Reviews

J.Mayear

over 5 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