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GraphClick VS DataMelt

Compare GraphClick VS DataMelt and see what are their differences

GraphClick

GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.

Rating
0 reviews
Alternatives Is it good?
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
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored

Which is more popular?

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

Base details

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

GraphClick
DataMelt
Website top-domains.ch datamelt.org
Pricing —
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company — 2020
Listed in
Data Extraction Data Visualization Maps Development +1
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4

About GraphClick and DataMelt

In their own words, as submitted to SaaSHub.

GraphClick
DataMelt

No description of GraphClick 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.

GraphClick 4 features
DataMelt 5 features
  • Data extraction
    GraphClick allows users to efficiently extract data points from graphs and plots available in image formats. This feature is beneficial for users who need to digitize data for analysis where raw numerical data is not available.
  • User-friendly interface
    The software provides an intuitive and easy-to-use interface, which makes it accessible for users without extensive technical skills to navigate and use the tool effectively for their graph digitization needs.
  • Versatility
    GraphClick supports a wide range of graph types and formats. This versatility ensures that users can work with different kinds of visual data representations without worrying about compatibility issues.
  • Precision
    The tool allows users to manually refine data point positions to ensure high accuracy in digitization, which is crucial for producing reliable data analysis results.

Possible disadvantages

  • Limited platform availability
    GraphClick is only available for macOS, which limits its accessibility for users who are operating on other platforms like Windows or Linux.
  • Paid software
    The software is not free, which can be a disadvantage for users or organizations with limited budgets looking for cost-effective solutions for data extraction tasks.
  • Learning curve
    Although the interface is user-friendly, new users might still experience a learning curve in understanding all the features and getting the most efficient use out of the tool.
  • Older software
    GraphClick has not undergone significant updates in recent years, potentially leading to compatibility issues with more recent macOS versions or lack of support for newer graphical formats and features.
  • 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

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
GraphClick
DataMelt
100% 100%
Data Extraction
0% 0%
0% 0%
Technical Computing
100% 100%
100% 100%
Development
0% 0%
0% 0%
Office & Productivity
100% 100%

Questions & Answers

As answered by people managing GraphClick 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 GraphClick and DataMelt. For example, how are they different and which one is better?

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Reviews and articles

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

GraphClick no reviews yet
DataMelt 5.0 · 1 review

We have no reviews of GraphClick 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 GraphClick and DataMelt

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

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