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LabPlot VS DataMelt

Compare LabPlot VS DataMelt and see what are their differences

LabPlot

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

Rating
5.0 · 1 review
Pricing
Open source
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?
Data Analytic System
Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice. sponsored

Which is more popular?

user rating
5.0 vs 5.0
Technical Computing popularity
62% vs 38%
alternatives listed
77 vs 44

Base details

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

LabPlot
DataMelt
Website labplot.org datamelt.org
Pricing
Open source
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company 2024 2020
Listed in
Data Visualization Analytics Technical Computing Office & Productivity Numerical Computation Data Analysis Statistics Data Analytics +5
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4

About LabPlot and DataMelt

In their own words, as submitted to SaaSHub.

LabPlot
DataMelt

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals. FEATURE HIGHLIGHTS High-quality data visualization and interactive plotting Data analysis, statistics, nonlinear regression, curve and peak fitting Fast...

Read more about LabPlot

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.

LabPlot 5 features
DataMelt 5 features
  • Open Source
    LabPlot is free and open source, allowing users to modify and distribute the software without any cost.
  • Integration with KDE
    LabPlot is part of the KDE software collection, offering seamless integration with other KDE applications and a consistent look and feel.
  • Multiplatform Support
    LabPlot is available on various platforms, including Linux, Windows, and macOS, making it accessible to a wide range of users.
  • Extensive Plotting Features
    LabPlot offers a wide range of plotting capabilities, including 2D and 3D plots, which can accommodate diverse scientific and engineering needs.
  • Customizability
    Users can customize plots extensively in LabPlot, adjusting parameters such as plot style, color, and data presentation to suit their specific needs.

Possible disadvantages

  • Steeper Learning Curve
    Due to its comprehensive features, new users might find LabPlot challenging to learn and may require time to become proficient.
  • Limited Community Support
    While there is a community around LabPlot, the size is relatively small compared to more widely used plotting tools, potentially limiting peer support.
  • Performance Issues with Large Datasets
    LabPlot may experience performance slowdowns when handling very large datasets, which can hinder productivity for users working with such data.
  • Less Frequent Updates
    LabPlot may receive updates less frequently than some commercial software, possibly affecting the pace of new feature integration.
  • 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.

LabPlot 4 videos + Add
DataMelt 0 videos + Add

How to fit a curve using LabPlot

More videos

  • - Quick Statistics and Visual Overview of Data in LabPlot
  • - How to export publication-quality plots from LabPlot
  • - Your First Data Import and Visualization in LabPlot

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
LabPlot
DataMelt
62% 62%
Technical Computing
38% 38%
64% 64%
Office & Productivity
36% 36%
65% 65%
Numerical Computation
35% 35%
55% 55%
Tool
45% 45%

Questions & Answers

As answered by people managing LabPlot 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 LabPlot 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.

LabPlot 5.0 · 1 review
DataMelt 5.0 · 1 review
  • Rated 5/5 by Mark
    SaaSHub review
    · Sep 2024

    LabPlot provides extensive capabilities for data import and export, along with tools for analysis, curve fitting, nonlinear regression and interactive visualization, including live data support. Users can export...

  • 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 LabPlot and DataMelt

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

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