Software Alternatives & Startups

Gnome ScreenRuler VS Plotly

Compare Gnome ScreenRuler VS Plotly and see what are their differences

Gnome ScreenRuler

ScreenRuler lets you measure objects on your Ubuntu desktop using six different metrics.

Gnome ScreenRuler Landing page
Rating
0 reviews
Plotly

Low-Code Data Apps

Plotly Landing page
Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Plotly seems to be a lot more popular than Gnome ScreenRuler. While we know about 34 links to Plotly, we've tracked only 2 mentions of Gnome ScreenRuler.

social mentions
2 vs 34
Screenshot Annotation popularity
100% vs 0%
alternatives listed
60 vs 240+

Base details

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

Gnome ScreenRuler
Plotly
Website gnomecoder.wordpress.com plotly.com
Pricing
Listed in

Features and specs

What each product offers, as listed by its team.

Gnome ScreenRuler 5 features
Plotly 6 features
  • User-Friendly Interface
    ScreenRuler offers a simple and intuitive interface, making it easy for users to measure screen elements without a steep learning curve.
  • Cross-Platform Compatibility
    It is compatible with various operating systems, providing flexibility for users working across different platforms.
  • Customization Options
    ScreenRuler allows users to customize the ruler's appearance, including its color and transparency, to suit individual preferences and needs.
  • Precision Measurement
    Provides precise measurement capabilities, beneficial for design and development tasks where accuracy is critical.
  • Lightweight Application
    The application is lightweight and does not consume significant system resources, ensuring smooth operation alongside other applications.

Possible disadvantages

  • Limited Features
    Compared to other more advanced design tools, ScreenRuler's feature set is relatively basic and may not satisfy professional users.
  • Minimal Support
    Being a smaller project, it has limited support and documentation, which can be challenging for troubleshooting issues.
  • No Recent Updates
    The tool has not seen frequent updates, which might lead to compatibility issues with newer operating systems.
  • Lack of Integration
    It doesn't integrate well with other design or development tools, potentially interrupting workflow for users seeking seamless toolchains.
  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis

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

Gnome ScreenRuler
Plotly

Overall verdict

  • ScreenRuler is generally well-received by users who need a reliable and straightforward tool for on-screen measurement. Its usability and functionality make it a good choice for those frequently performing tasks that require precise screen measurements. However, the quality of the software can vary depending on the updates and compatibility with your operating system, particularly with certain desktop environments like GNOME.

Why this product is good

  • ScreenRuler is a tool typically used for measuring objects on your screen, which can be particularly useful for UI/UX designers, developers, and anyone who needs precise alignment and measurement while working on digital screens. It allows users to measure pixels, which can be critical for design accuracy and consistency.

Recommended for

    ScreenRuler is recommended for graphic designers, web designers, developers, and anyone involved in digital content creation who requires precise measurement tools. It is particularly helpful for ensuring elements in digital projects are properly aligned and meet design specifications.

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Videos

Walkthroughs and reviews on video.

Gnome ScreenRuler 3 videos + Add
Plotly 5 videos + Add

ScreenRuler Overview

More videos

  • Review - ScreenRuler Mac Overview | Reading ruler and screen colour tinter | Claro Software
  • Review - Assistive Technology - Screenruler software overview

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

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
Gnome ScreenRuler
Plotly
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Gnome ScreenRuler and Plotly. 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.

Gnome ScreenRuler no reviews yet
Plotly no reviews yet

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Social recommendations and mentions

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

Gnome ScreenRuler 2 mentions
Plotly 34 mentions

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Alternatives to Gnome ScreenRuler and Plotly

When comparing Gnome ScreenRuler and Plotly, you can also consider the following products.