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GnuPlot VS NumeRe

Compare GnuPlot VS NumeRe and see what are their differences

GnuPlot

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

Rating
0 reviews
Alternatives Is it good?
NumeRe

Framework for numerical computations, data analysis and visualisation.

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

Which is more popular?

Based on our record, GnuPlot seems to be more popular. It has been mentioned 5 times since March 2021.

social mentions
5 vs 0
Technical Computing popularity
82% vs 18%
alternatives listed
116 vs 74

Base details

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

GnuPlot
NumeRe
Website gnuplot.info numere.org
Pricing —
Open source Free
Platforms —
Windows
Company — Startup from Germany · 1 - 9 employees · 2025
Listed in
Technical Computing Numerical Computation Data Visualization Education & Reference +1
Analytics Data Visualization Numerical Computation Technical Computing +1

About GnuPlot and NumeRe

In their own words, as submitted to SaaSHub.

GnuPlot
NumeRe

No description of GnuPlot yet.

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 Windows® that can do more than the usual spreadsheets. It provides you with nonlinear fits of arbitrary...

Read more about NumeRe

Features and specs

What each product offers, as listed by its team.

GnuPlot 7 features
NumeRe 6 features
  • Highly Customizable
    GnuPlot offers extensive customization options for creating plots, allowing users to tweak almost every aspect of the graph, including colors, labels, line styles, and more.
  • Scriptable
    GnuPlot can be driven by scripts, making it convenient for automating complex plots and integrating with other software workflows.
  • Wide Range of Output Formats
    It supports many output formats such as PNG, PDF, SVG, and EPS, making it easy to generate graphics for different purposes like presentations, publications, and web content.
  • Cross-Platform
    GnuPlot runs on multiple operating systems, including Windows, macOS, and Linux, ensuring that it can be used in diverse computing environments.
  • Complex Plotting Capabilities
    GnuPlot supports a wide variety of plots, including 2D and 3D plots, histograms, heatmaps, and more, which caters to the needs of advanced visualization requirements.
  • Performance
    GnuPlot is efficient and can handle large datasets with ease, offering fast rendering times which is crucial when dealing with complex visualizations.
  • Free and Open Source
    Being free and open-source software, GnuPlot is accessible to everyone, and users can modify the source code to suit their needs.

Possible disadvantages

  • Steep Learning Curve
    GnuPlot has a complex syntax and a steep learning curve, especially for beginners who may find it difficult to get started without substantial effort.
  • Limited GUI
    GnuPlot lacks a full-featured graphical user interface (GUI), making it less user-friendly for those who prefer point-and-click interactions over scripting.
  • Documentation
    While comprehensive, the documentation can be overwhelming and difficult to navigate for new users trying to find specific information quickly.
  • Date Handling
    Handling and formatting dates can be cumbersome in GnuPlot, requiring more manual setup compared to other dedicated plotting tools.
  • Interactive Features
    GnuPlot's interactive plotting capabilities are limited compared to other modern plotting tools that offer more dynamic and real-time interactivity.
  • Integration
    Integration with some modern programming environments and languages may not be as seamless as with other plotting libraries specifically designed for those ecosystems (e.g., Matplotlib in Python).
  • Scripting support
  • Fitting
  • File Versioning
  • Syntax Highlighting
  • Autocompletion
  • Import CSV data

Analysis

An editorial look at what each product does well and who it suits.

GnuPlot
NumeRe

Overall verdict

  • Gnuplot is generally considered to be a good choice for those looking for a reliable and flexible plotting tool, especially if the users need robust scriptability or work across different operating systems.

Why this product is good

  • Gnuplot is a powerful, portable, and multi-platform tool capable of producing high-quality 2D and 3D plots. It supports numerous output formats and can be used interactively or in scripts. Additionally, it has a large support community and extensive documentation, making it accessible for both beginners and advanced users.

Recommended for

  • Scientists and engineers who need to visualize data across diverse platforms.
  • Users comfortable working with command-line interfaces.
  • Individuals or teams needing to generate plots through automated scripts.
  • Those looking for a free and open-source alternative to other graphing tools.

No analysis of NumeRe yet.

Videos

Walkthroughs and reviews on video.

GnuPlot 3 videos + Add
NumeRe 0 videos + Add

Gnuplot Introduction

More videos

  • - DTrace Latency Visualization in gnuplot
  • - Basics of Gnuplot - Make your plot look Good

No NumeRe 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
GnuPlot
NumeRe
82% 82%
Technical Computing
18% 18%
74% 74%
Numerical Computation
26% 26%
79% 79%
Data Visualization
21% 21%
100% 100%
Education & Reference
0% 0%

Questions & Answers

As answered by people managing GnuPlot and NumeRe.

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

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

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GnuPlot 5 mentions
NumeRe 0 mentions

View more

Tracking NumeRe since Feb 2023.

Alternatives to GnuPlot and NumeRe

When comparing GnuPlot and NumeRe, you can also consider the following products.

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