Software Alternatives, Accelerators & Startups

GnuPlot VS ExplainDev

Compare GnuPlot VS ExplainDev and see what are their differences

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GnuPlot logo GnuPlot

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

ExplainDev logo ExplainDev

Meet the AI-powered browser extension that explains code using plain language.
  • GnuPlot Landing page
    Landing page //
    2022-12-13
  • ExplainDev Landing page
    Landing page //
    2023-05-09

GnuPlot features and specs

  • 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 of GnuPlot

  • 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).

ExplainDev features and specs

  • Improved Code Understanding
    ExplainDev provides detailed explanations of code snippets, helping users understand how a specific piece of code works.
  • Facilitates Learning
    The tool is beneficial for new developers and students as it can accelerate the learning process by breaking down complex code into simpler terms.
  • Increased Productivity
    By offering quick insights into code, ExplainDev can save time for developers who need to work with unfamiliar codebases.
  • Integration with Development Tools
    ExplainDev can integrate with popular development environments, allowing users to access its features without leaving their coding platforms.

Possible disadvantages of ExplainDev

  • Dependency on Service
    Relying on ExplainDev for code understanding can lead to over-dependence, potentially hindering the development of independent problem-solving skills.
  • Accuracy Limitations
    The explanations provided may not always be accurate or fully comprehensive, especially for complex or niche code snippets.
  • Data Privacy Concerns
    Using an online tool to analyze code might raise concerns about the privacy and security of the code being processed.
  • Limited Programming Language Support
    The tool may not support all programming languages or frameworks, limiting its usefulness for developers working outside of its supported technologies.

Analysis of GnuPlot

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.

GnuPlot videos

Gnuplot Introduction

More videos:

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

ExplainDev videos

No ExplainDev videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to GnuPlot and ExplainDev)
Technical Computing
100 100%
0% 0
Developer Tools
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Chrome Extensions
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100% 100

User comments

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Social recommendations and mentions

GnuPlot might be a bit more popular than ExplainDev. We know about 5 links to it since March 2021 and only 4 links to ExplainDev. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GnuPlot mentions (5)

  • Question about Project Management
    To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 3 years ago
  • How do I make a transparent background on .ps or .eps file imported to groff
    Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago
  • Introducing Graphs
    Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago

ExplainDev mentions (4)

  • Buildling ReReview AI - chatbot to help find the best AI tools for any task or team (with GPT-4)
    Thanks for the note. Generally best to just describe the task (need to improve the system prompt to always only return tools). Here's the response I got: https://imgur.com/a/NyHBCe2 (https://programming-helper.com/ , https://explain.dev/ , https://tldrdev.ai/ , https://code-mentor.ai/) In addition to the categorization and summary (driven by GPT-4), it takes into account performance metrics of the tool (visits,... Source: about 3 years ago
  • Why don't there seem to be any courses based around the idea of maintaining and extending legacy software?
    Agree with so many of the comments here. I believe the way to equip folks to be productive with legacy code is build tools that replicate the goodness of an experienced engineer while on the job. Supplement the help available and ensure the person onboarding is benefitting from the questions that were asked by new folks before them. I started building the tool here: explain.dev While courses could help you feel... Source: over 3 years ago
  • Make image tutorials in no time with code explanations from AI.
    The technology behind the images is ExplainDev, an AI powered programmer's assistant. You can think of it as an expert that's always available to answer your technical questions and explain code. - Source: dev.to / almost 4 years ago
  • Explanation of a queue data structure in JavaScript
    I used explain.dev for code explanations and snappify.io for the visuals :). Source: about 4 years ago

What are some alternatives?

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

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ExplainThisCode.ai - AI-powered code explanations tailored to your skill level. Paste code, upload files, or connect GitHub repos to get personalized explanations for any programming language.

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

EssenceAI - Simplify Code Understanding using the power of GPT-4