Software Alternatives, Accelerators & Startups

NumeRe VS LabPlot

Compare NumeRe VS LabPlot and see what are their differences

NumeRe logo NumeRe

Framework for numerical computations, data analysis and visualisation.

LabPlot logo LabPlot

LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
  • NumeRe Session view
    Session view //
    2024-02-20
  • NumeRe Debugger and static code analyzer
    Debugger and static code analyzer //
    2024-02-20
  • NumeRe Some example plots
    Some example plots //
    2024-02-20

Solving and visualizing. Table based. Statistics and numerics. Optimized for science. Free of charge. GNU GPL v3.

NumeRe: Framework for Numerical Computations is an application for Microsoft Windowsยฎ that can do more than the usual spreadsheets. It provides you with nonlinear fits of arbitrary functions as well as a ODE solver. It can display 1D and 2D data easily and publication-ready with a simple command. Fourier transforms are included as well as wavelet transforms. Data is managed in a table-based manner and automatically saved, so you can quickly resume after a restart.

Simple tasks are simple

We never understood why you have to write as much code for simple things as for more complex tasks. Our mantra is therefore Keep simple things simple.

Syntax as intuitive as a language

NumeRe's main goal is to be as intuitive as possible, which implies a syntax that is as simple and clear as possible. NumeRe does not try to be dynamically typed, but deliberately emphasizes that you understand what is happening as soon as you read the code. In addition, the advanced editor highlights different data structures in different colors, so the syntax may seem a bit "colorful and choppy" at first. But we can guarantee that you will appreciate it very soon.

  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-02
  • LabPlot
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    2024-09-05
  • LabPlot
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    2024-09-05
  • LabPlot
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    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

NumeRe

Website
numere.org
$ Details
free
Platforms
Windows
Release Date
2025 August
Startup details
Country
Germany
Employees
1 - 9

NumeRe features and specs

  • Scripting support
  • Fitting
  • File Versioning
  • Syntax Highlighting
  • Autocompletion
  • Import CSV data

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.

NumeRe videos

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LabPlot videos

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 NumeRe and LabPlot)
Technical Computing
26 26%
74% 74
Numerical Computation
39 39%
61% 61
Office & Productivity
0 0%
100% 100
Data Visualization
100 100%
0% 0

Questions & Answers

As answered by people managing NumeRe and LabPlot.

What makes your product unique?

NumeRe's answer

  • An advanced built-in editor
  • Syntax following "Different things should look different" approach
  • Lightweight installation
  • No hard dependencies (LaTeX is optional)
  • Built-in version control management
  • and many more ...

Which are the primary technologies used for building your product?

NumeRe's answer

NumeRe is built using mainly C++ together with some minor code snippets from C. A large variety of additional libraries is used, but most code has been written from scratch.

How would you describe the primary audience of your product?

NumeRe's answer

  • Data analysts and persons interested in this field
  • People familiar with spreadsheets like Excel but wanting more elaborate functionalities
  • Students, teachers, scientific edcutators

What's the story behind your product?

NumeRe's answer

You can read about it here: https://en.numere.org/about/further-information

Why should a person choose your product over its competitors?

NumeRe's answer

If you're coming from Excel (or similar), you might want to read those two articles: https://en.numere.org/home/blog/can-numere-excel and https://en.numere.org/home/blog/when-numere-is-the-better-spreadsheet

Besides that: feel free to scan through our blog, where we post regularly about NumeRe's features: https://en.numere.org/home/blog

User comments

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Reviews

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

NumeRe Reviews

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LabPlot Reviews

  1. 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 NumeRe and LabPlot, you can also consider the following products

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

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

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.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

OriginPro - OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.

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