Software Alternatives & Startups

DigitizeIt VS DataMelt

Compare DigitizeIt VS DataMelt and see what are their differences

DigitizeIt

Sometimes it is necessary to extract data values from graphs, e.g.

Rating
0 reviews
DataMelt

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

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial

Which is more popular?

Data Extraction popularity
100% vs 0%
alternatives listed
15 vs 44

Base details

Website, pricing, platforms and company facts side by side.

DigitizeIt
DataMelt
Website digitizeit.xyz datamelt.org
Pricing —
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company — 2020
Listed in

About DigitizeIt and DataMelt

In their own words, as submitted to SaaSHub.

DigitizeIt
DataMelt

No description of DigitizeIt yet.

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...

Read more about DataMelt

Features and specs

What each product offers, as listed by its team.

DigitizeIt 4 features
DataMelt 5 features
  • Ease of Use
    DigitizeIt offers a user-friendly interface that makes it easy for users to navigate and utilize its features with minimal learning curve.
  • Accuracy
    The software is designed to provide highly accurate data extraction from graphs and plots, ensuring reliable results.
  • Versatility
    DigitizeIt supports various input formats and graph types, making it a versatile tool for different data visualization needs.
  • Feature Rich
    The application comes with a range of useful features, such as coordinate readouts, data point editing, and export options, enhancing its functionality.

Possible disadvantages

  • Cost
    While DigitizeIt offers powerful features, it is not free, which might be a downside for users looking for cost-effective solutions.
  • Limited Support
    Users might experience limited customer support options and resources, which could be problematic if issues arise.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering more advanced functionality may require additional time and effort.
  • Platform Dependence
    As a software application, DigitizeIt may have limitations in terms of platform compatibility, affecting users on non-supported systems.
  • 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.

Videos

Walkthroughs and reviews on video.

DigitizeIt 2 videos + Add
DataMelt 0 videos + Add

DigitizeIT Saving Graphs and Extracting Data - Video 1 Tutorial

More videos

  • - DigitizeIT

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DigitizeIt
DataMelt
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing DigitizeIt 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

Share your experience with using DigitizeIt and DataMelt. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

DigitizeIt no reviews yet
DataMelt 5.0 · 1 review

We have no reviews of DigitizeIt yet. Be the first one to post

  • Great 3D graphics
    SaaSHub review
    · Dec 2019

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

Alternatives to DigitizeIt and DataMelt

When comparing DigitizeIt and DataMelt, you can also consider the following products.