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Atril VS Plotly

Compare Atril VS Plotly and see what are their differences

DocRaptor
As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Atril logo Atril

Atril is a simple multi-page document viewer. Atril is a fork of Evince.

Plotly logo Plotly

Low-Code Data Apps
  • Atril Landing page
    Landing page //
    2021-09-22
  • Plotly Landing page
    Landing page //
    2023-07-31

Atril features and specs

  • Lightweight
    Atril is designed to be a lightweight document viewer, making it fast and efficient with system resources. This is particularly beneficial for older or less powerful computers.
  • MATE Integration
    As part of the MATE desktop environment, Atril is well-integrated and maintains a consistent look and feel with other MATE applications, providing a seamless user experience.
  • Multiple Format Support
    Atril supports a variety of document formats, including PDF, PostScript, DjVu, DVI, and XPS, making it a versatile tool for viewing different kinds of documents.
  • Open Source
    Atril is open-source software, allowing users to freely inspect, modify, and distribute the software. This fosters transparency and community contributions.

Possible disadvantages of Atril

  • Limited Features
    Compared to some other document viewers, Atril may have fewer advanced features, such as extensive annotation tools or advanced search capabilities.
  • MATE Dependency
    While Atril can be used outside the MATE desktop environment, it is specifically designed for MATE, meaning it may not integrate as well with other desktop environments.
  • Occasional Lag with Large Files
    Users may experience some performance lag when opening very large documents, which can affect usability.
  • Development Pace
    Being part of a community-driven project, Atril's development and updates can be slower compared to commercial software with dedicated development teams.

Plotly features and specs

  • 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 of Plotly

  • 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 of Atril

Overall verdict

  • Atril is considered a good option for users looking for a straightforward, reliable document viewer integrated with the MATE desktop environment. It offers essential features required for everyday document viewing tasks and is consistently maintained as part of the MATE project.

Why this product is good

  • Atril, a document viewer that is part of the MATE desktop environment, is appreciated for its simplicity and efficiency. It supports a wide range of document formats including PDF, PostScript, DJVU, and many others. Atril is lightweight, making it an excellent choice for users who prefer minimal resource consumption without sacrificing functionality.

Recommended for

    Atril is recommended for users who utilize the MATE desktop environment or those who need a fast and efficient document viewer that does not hog system resources. It's especially suitable for Linux users who appreciate the traditional desktop experience provided by MATE.

Analysis of Plotly

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.

Atril videos

+ Add

Me comprรฉ un atril! - PDP CS800 #Review

More videos:

  • Review - REVIEW / Atril de platillo HC33BW con boom Tama
  • Review - Review: Wostoo Teclado Electrรณnico Piano 61 Teclas con Atril y Microfono

Plotly videos

+ Add

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

0-100% (relative to Atril and Plotly)

Atril

Plotly

PDF Editor
100 100%
PDF Editor
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

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

Atril Reviews

We have no reviews of Atril yet.
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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Plotly might be a bit more popular than Atril. We know about 34 links to it since March 2021 and only 23 links to Atril. 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.

Atril mentions (23)

  • KDE celebrates the 29th birthday and kicks off the yearly fundraiser
    MATE was forked around the time GNOME 3 was released and is still going. https://mate-desktop.org Some people consider Cinnamon to be a GNOME 2 spiritual successor while still using a lot of GNOME 3 stuff under the hood. https://projects.linuxmint.com/cinnamon/. - Source: Hacker News / 9 months ago
  • SerenityOS is a love letter to '90s user interfaces
    The closest I know of is Blue95. I have only run the live environment but it worked pretty well and was impressive. "Blue95 is a modern and lightweight desktop experience that is reminiscent of a bygone era of computing. Based on Fedora Atomic Xfce with the Chicago95 theme." https://github.com/winblues/blue95 And if you like Gnome 2.x, there's MATE: https://mate-desktop.org/. - Source: Hacker News / about 1 year ago
  • Systemd Rolling Out "run0" As sudo Alternative
    I don't know if you are DE shopping, but I've been very happy for the past few years with the MATE Desktop Environment, which "...is the continuation of GNOME 2. It provides an intuitive and attractive desktop environment using traditional metaphors for Linux and other Unix-like operating systems." https://mate-desktop.org/ Among a great number of things I really like, I will mention that Caja, the MATE version of... - Source: Hacker News / about 2 years ago
  • Lobotomizing Gnome
    I agree that there is a balance between customization and "cleanness" in design and implementation. However, I think the GNOME 3 and 4 designers went too far and alienated many users: https://www.zdnet.com/article/linus-torvalds-finds-gnome-3-4-to-be-a-total-user-experience-design-failure/ https://medium.com/@fulalas/gnome-42-the-nonsense-continues-7d96c3287f7... - Source: Hacker News / about 3 years ago
  • I Still Use Windows 95 (archived, 2008)
    > Is there a WM out there that can do the basic quality-of-life functions of today's DEs? I'd love a simple, opinionated WM that takes the features we know are useful today (workspaces, expo mode, sensible file manager layouts, system trays) and gives them a color-adjustable window theme inspired by 90's aesthetics, with minimal compositing that can run fast on hardware as minimal as a prototype RISC-V board. Or... - Source: Hacker News / about 3 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Atril and Plotly, you can also consider the following products

Evince - Evince is a document viewer for multiple document formats: PDF, Postscript, djvu, tiff, dvi, XPS...

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

PDF Reader Pro - PDF Reader Pro is an all-in-one PDF office supporting to Read, Annotate, Edit, OCR, Convert, Create & Fill Form, Sign PDFs, TTS on Mac, iOS, Android, and Windows.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

ApowerPDF - ApowerPDF is a versatile PDF editor which also features as PDF converter, viewer, creator and more. It provides a perfect solution for all users.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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