About DataMelt
DataMelt is a free, multi-platform environment for numeric computation, statistics, data analysis, and visualization.
DataMelt (DMelt) is a free, open-source computational platform for scientists, engineers, and students, focused on numeric computation, data analysis, and scientific visualization. It uniquely combines the power of the Java ecosystem with the simplicity of popular scripting languages like Python (via Jython), Groovy, and Ruby. This allows users to leverage tens of thousands of Java classes for high-performance tasks while writing code in a more accessible scripting environment. The software is cross-platform, running on Windows, Linux, macOS, and even Android through its 'AWork' port. While the core community edition is free under a GPL license, DataMelt offers a membership model that provides access to extended documentation, more examples, and a commercially-licensed version for use in closed-source projects. The platform is designed to be portable, requiring no installation. It is a powerful tool for statistical analysis, data mining, and creating publication-quality graphics.
Pros & Cons
- Supports multiple popular scripting languages like Python, Groovy, and Ruby.
- Completely free for non-commercial use, including academic research and education.
- Runs on all major desktop operating systems (Windows, Linux, Mac) and has an Android version.
- Highly portable, requiring no installation to run.
- Produces high-quality vector graphics suitable for scientific publications.
- Full documentation, examples, and commercial licenses require a paid membership.
- The user interface and overall project structure can be complex for new users.
- The vendor and licensing structure, involving multiple entities and license types, can be confusing.
Features
Key features
Use scripting languages like Python, Groovy, JRuby, and BeanShell on the Java platform.
Perform complex mathematical calculations, including symbolic math via Matlab/Octave integration.
Create high-quality vector-graphics images (SVG, EPS, PDF) suitable for scientific publications.
Access a wide range of tools for statistical computations and data analysis.
Designed for analyzing large datasets, often referred to as "big data".
Runs on Windows, Linux, macOS, and Android operating systems.
Utilizes over 50,000 Java classes for numeric computation and scientific visualization.
Additional features
No installation required; can be run from a hard drive or USB flash drive.
A dedicated port for Android smartphones and tablets for mobile scientific computation.
Comes with an Integrated Development Environment for writing and executing code.
Offers a redesigned version with business-friendly licenses (LGPL, MIT, Apache) for commercial use.
Available for use on the Amazon EC2 cloud platform.
Pricing
Countries & Languages
Interface languages
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About DataMelt
DataMelt is a free, multi-platform environment for numeric computation, statistics, data analysis, and visualization.
DataMelt Details
DataMelt's In-App Market Place
Does DataMelt have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
Pros & Cons
- Supports multiple popular scripting languages like Python, Groovy, and Ruby.
- Completely free for non-commercial use, including academic research and education.
- Runs on all major desktop operating systems (Windows, Linux, Mac) and has an Android version.
- Highly portable, requiring no installation to run.
- Produces high-quality vector graphics suitable for scientific publications.
- Full documentation, examples, and commercial licenses require a paid membership.
- The user interface and overall project structure can be complex for new users.
- The vendor and licensing structure, involving multiple entities and license types, can be confusing.
DataMelt's Support Options
Email Address
support@datamelt.orgDataMelt's Alternatives
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