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QtiPlot VS LabPlot

Compare QtiPlot VS LabPlot and see what are their differences

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QtiPlot logo QtiPlot

QtiPlot is a professional scientific data analysis and visualisation solution.

LabPlot logo LabPlot

LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
  • QtiPlot Landing page
    Landing page //
    2021-03-23
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05

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 computing with interactive notebooks (for Python, R, Julia, Maxima and more)
  • Data extraction from images (Plot Digitizer)
  • Smooth data import and export to and from multiple formats (CSV, JSON, ODS, XLSX, Origin, SAS, Stata, SPSS, MATLAB, SQL, MQTT, BLF, HDF5, FITS, ROOT (CERN), LTspice, Ngspice and more)
  • Available for Windows, macOS, Linux, FreeBSD, Haiku, GNU

A full list of features: https://labplot.kde.org/features

Video tutorials: https://www.youtube.com/@LabPlot

Communication channels: https://labplot.kde.org/support

Get it here: https://labplot.kde.org/download

QtiPlot features and specs

  • Open Source
    QtiPlot is an open-source software, which allows users to inspect the source code and contribute to its development. This fosters community-driven improvements and ensures transparency.
  • Cross-Platform Support
    QtiPlot is available for multiple platforms including Windows, macOS, and Linux, providing flexibility for users who work across different operating systems.
  • Scientific Data Visualization
    QtiPlot offers a range of data visualization tools specifically designed for scientific research, making it easy to create publication-quality graphs and plots.
  • Cost-Effective
    Being available as free software, QtiPlot is a cost-effective alternative to commercial data analysis and visualization tools, making it accessible for students and researchers with limited budgets.
  • Custom Scripting
    QtiPlot supports Python scripting, allowing users to automate tasks and extend functionality through custom scripts, which enhances its versatility.

Possible disadvantages of QtiPlot

  • Steep Learning Curve
    New users might find QtiPlot challenging to learn, especially if they do not have a background in data analysis or visualization tools, due to its complex interface and feature set.
  • Limited Documentation
    The documentation for QtiPlot may be less comprehensive compared to some proprietary software, potentially making it difficult for users to find solutions to specific problems.
  • Performance Issues
    For very large datasets, QtiPlot may experience performance issues, including slow processing speeds or application crashes, limiting its usability for extensive data analysis.
  • Lack of Advanced Features
    Compared to some commercial alternatives, QtiPlot may lack certain advanced features and tools for specialized scientific analysis, which can be a limitation for expert users.
  • Community Support
    While there is a community of open-source users, the support might not be as immediate or structured as commercial customer support, which can delay problem resolution.

LabPlot features and specs

  • 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 of LabPlot

  • 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.

QtiPlot videos

+ Add

QtiPlot Intro #3: scatter plot, linear regression, error bars & reading data from graphs

More videos:

  • Tutorial - QtiPlot Intro #1: How to install free QtiPlot build on windows- QtiPlot alternatives
  • Review - QtiPlot intro #5: Boltzmann fits (e.g. for bacteria or protein aggregation growth curves)

LabPlot videos

+ Add

How to fit a curve using LabPlot

More videos:

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

Category Popularity

0-100% (relative to QtiPlot and LabPlot)

QtiPlot

LabPlot

Technical Computing
31 31%
Technical Computing
69% 69
Numerical Computation
36 36%
Numerical Computation
64% 64
Office & Productivity
30 30%
Office & Productivity
70% 70
Data Visualization
30 30%
Data Visualization
70% 70

User comments

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Reviews

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

QtiPlot Reviews

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LabPlot Reviews

  1. Mark

    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 graphs in various formats and utilize a built-in plot digitizer to extract data from existing charts. Additionally, if users are familiar with programming languages such as Python or R, they can leverage these within LabPlot's interactive notebooks.

What are some alternatives?

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

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

OriginLab - OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

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

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

SigmaPlot - SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface for all your statistical analysis and graphing needs that takes you beyond simple spreadsheets and helps you to produce high-quality graphs without …

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