Software Alternatives, Accelerators & Startups

Widget Web VS DataMelt

Compare Widget Web VS DataMelt and see what are their differences

Widget Web logo Widget Web

Widget Web is a handy application that allows you to view the content of web pages in a widget on your iOS deviceโ€™s home screen.

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • Widget Web Landing page
    Landing page //
    2022-04-26
  • 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

DataMelt

Pricing URL
-
$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June

Widget Web features and specs

  • User-Friendly Interface
    Widget Web offers an intuitive and easy-to-navigate user interface, which enhances user experience and reduces the learning curve for new users.
  • Customizability
    Users can easily customize widgets to suit their specific needs, providing flexibility and a personalized experience.
  • Responsive Design
    The platform provides a responsive design that works seamlessly across different devices, ensuring accessibility and convenience for users on the go.
  • Integration Capabilities
    Widget Web supports integration with various third-party applications and services, allowing users to expand its functionality and enhance productivity.

Possible disadvantages of Widget Web

  • Limited Free Features
    The free version of Widget Web has limited features, which may push users towards purchasing a premium plan to access its full capabilities.
  • Performance Issues
    Some users have reported occasional performance issues, such as slow loading times or glitches, especially during high traffic periods.
  • Customer Support
    Customer support options are somewhat limited, with longer response times, which can be frustrating for users in need of immediate assistance.
  • Learning Curve for Advanced Features
    While the basic features are easy to use, advanced capabilities may require a steeper learning curve, particularly for users without technical expertise.

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.

Category Popularity

0-100% (relative to Widget Web and DataMelt)
Office & Productivity
58 58%
42% 42
Technical Computing
0 0%
100% 100
Tool
66 66%
34% 34
iPhone
100 100%
0% 0

Questions & Answers

As answered by people managing Widget Web and DataMelt.

How would you describe the primary audience of your product?

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 Widget Web and DataMelt

Widget Web Reviews

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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

What are some alternatives?

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

Widgeridoo - Custom and pre-made widgets for iOS and macOS

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

Pixel Widgets - Pixel Widgets is a feature-rich application that makes it easy for you to add custom retro widgets and select from pre-loaded widget design or create a custom one with more than 150 fonts and color themes at your disposal.

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

My Widgets - My Widgets is a fully-featured application that lets you customize the Home screen with many widgets having various functions.

RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.