Software Alternatives, Accelerators & Startups

Cyfe VS DataMelt

Compare Cyfe VS DataMelt and see what are their differences

Cyfe logo Cyfe

Social media, analytics, marketing, sales, support, infrastructure... all in one place. Track your entire business in real-time.

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • Cyfe Landing page
    Landing page //
    2022-04-08
  • 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

Cyfe videos

Cyfe Review | All In One Business Dashboard | Pearl Lemon Reviews

More videos:

  • Tutorial - How to track business performance with Cyfe

DataMelt videos

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

+ Add video

Category Popularity

0-100% (relative to Cyfe and DataMelt)
Data Dashboard
100 100%
0% 0
Technical Computing
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Numerical Computation
0 0%
100% 100

Questions and Answers

As answered by people managing Cyfe and DataMelt.

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 Cyfe and DataMelt. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Cyfe Reviews

27 dashboards you can easily display on your office screen with Airtame 2
An all-in-one business dashboard app, Cyfe’s goal is to help you make better business decisions by bringing all of your business performance data under one roof. However, to benefit from its full potential, you would have to sign up for a Premium account.
Source: airtame.com

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 Cyfe and DataMelt, you can also consider the following products

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

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

Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.

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

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

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.