Software Alternatives, Accelerators & Startups

DataMelt VS Google Sheets

Compare DataMelt VS Google Sheets and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

DataMelt logo DataMelt

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

Google Sheets logo Google Sheets

Synchronizing, online-based word processor, part of Google Drive.
  • 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

  • Google Sheets Landing page
    Landing page //
    2022-01-17

DataMelt

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

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.

Google Sheets features and specs

  • Accessibility
    Google Sheets is cloud-based, allowing users to access their documents from anywhere with an internet connection, on any device.
  • Collaboration
    Multiple users can work on the same spreadsheet simultaneously, with real-time updates and the ability to see each other's changes.
  • Integrations
    Easily integrates with other Google Workspace apps like Google Drive, Docs, and Forms, as well as third-party services.
  • Cost
    Basic features are available for free, with additional advanced features accessible through affordable Google Workspace subscriptions.
  • Functionality
    Offers a wide range of built-in functions and formulas, supporting complex calculations and data analysis.
  • Version History
    Keeps a detailed version history of every change made, allowing users to revert to previous versions as needed.

Possible disadvantages of Google Sheets

  • Feature Limitations
    Lacks some advanced features found in more robust spreadsheet applications like Microsoft Excel, such as certain data visualization and pivot table capabilities.
  • Data Limitations
    Less efficient at handling very large datasets, which can slow down user experience and affect performance.
  • Internet Dependence
    Requires a stable internet connection for optimal use, though offline capabilities are available but limited.
  • Privacy Concerns
    Storing sensitive data on cloud-based services can raise privacy and security concerns for some users.
  • Customization
    Limited customization options compared to some other spreadsheet software, particularly in terms of advanced scripting and macro functions.

DataMelt videos

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Google Sheets videos

Excel Online vs. Google Sheets

More videos:

  • Tutorial - Google Sheets Quickstart - Easy Tutorial 2018
  • Review - Airtable vs. Google Sheets

Category Popularity

0-100% (relative to DataMelt and Google Sheets)
Technical Computing
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Office & Productivity
100 100%
0% 0
Office Suites
0 0%
100% 100

Questions & Answers

As answered by people managing DataMelt and Google Sheets.

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 DataMelt and Google Sheets

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

Google Sheets Reviews

HIGHLIGHTING DUPLICATES: GOOGLE SHEETS VS FLOOKUP
Highlighting your data is a very good way to get an overview of what your data looks like before performing destructive operations like removing duplicates or using that data for any other purpose. Unfortunately, at the time of writing this article, Google Sheets does not provide a predefined way of highlighting duplicates. However, with custom formulas and conditional...

What are some alternatives?

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

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

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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.

Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone โ€” or on a PC using iWork for iCloud. And itโ€™s compatible with Apple Pencil.