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Okular VS Plotly

Compare Okular VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Okular logo Okular

Okular is a universal document viewer based developed by KDE.

Plotly logo Plotly

Low-Code Data Apps
  • Okular Landing page
    Landing page //
    2023-05-02
  • Plotly Landing page
    Landing page //
    2023-07-31

Okular features and specs

  • Open Source
    Okular is an open-source software, which means the source code is freely available. Users can modify and distribute it according to their needs.
  • Multi-Format Support
    Okular supports a wide array of document formats including PDF, PostScript, DjVu, CHM, XPS, ePub, and more, providing versatile document reading capabilities.
  • Cross-Platform
    Okular is available for multiple operating systems including Linux, Windows, and macOS, making it accessible to a wider range of users.
  • Annotation Tools
    It includes powerful annotation features allowing users to add notes, highlight text, and draw shapes directly on documents.
  • Customizable Interface
    The interface is highly customizable, enabling users to tweak the appearance and functionality to match their preferences.
  • Tabbed Browsing
    Okular supports tabbed browsing, allowing users to open multiple documents in a single window, enhancing multitasking.

Possible disadvantages of Okular

  • Limited Advanced PDF Editing
    While Okular provides basic annotation features, it lacks advanced PDF editing capabilities like modifying text and images within a PDF.
  • Learning Curve
    New users might find the extensive range of features and settings overwhelming, leading to a steeper learning curve compared to simpler document viewers.
  • Performance Issues
    Some users have reported performance issues when handling very large files, which can result in slower operation and responsiveness.
  • Dependency on KDE Libraries
    To get the best experience, Okular requires KDE libraries, which might not be ideal for users who prefer not to integrate KDE components into their system.
  • Mobile Support
    Okular does not have a dedicated app for mobile platforms like Android and iOS, limiting its usability on tablets and smartphones.

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 Okular

Overall verdict

  • Yes, Okular is generally regarded as a good document viewer due to its features, flexibility, and open-source nature, which ensures continual updates and community support.

Why this product is good

  • Okular is considered good for several reasons: it is a versatile open-source document viewer developed by the KDE community, supporting various file formats including PDF, PostScript, and ePub. It offers a range of features such as annotation tools, form filling, text extraction, and multimedia support. Additionally, it is cross-platform, available on different operating systems like Linux, Windows, and macOS, making it accessible for a wider range of users.

Recommended for

    Okular is recommended for students, educators, professionals, and any users who require a reliable and feature-rich document viewer capable of handling a wide range of file formats. It is particularly beneficial for those who value open-source software and need robust annotation and document management tools across different platforms.

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.

Okular videos

+ Add

okular, program for annotating your books in linux

More videos:

  • Review - Review: Okular || Awesome PDF Viewer || Best PDF Viewer that I have tried yet.
  • Review - Okular Document Viewer vs Atril Document Viewer

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 Okular and Plotly)

Okular

Plotly

PDF Tools
100 100%
PDF Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
PDF Editor
100 100%
PDF Editor
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Okular and Plotly. For example, how are they different and which one is better?
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Reviews

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

Okular Reviews

10 Best PDF Expert Alternatives for Various Tasks in 2022
Verdict: Okular is an open source and can be used free, which is probably its main advantage. At the same time, its basic functionality is meant to be not only highly competitive with PDF Expert but rather overcomes it because the letter can be used only under paid subscription. This PDF Expert alternative is one of the most all-in-one PDF readers, which is compatible not...
Source: fixthephoto.com
8 Best eBook Readers for Linux
Okular is another open-source and cross-platform document viewer developed by KDE and is shipped as part of the KDE Application release.
Source: itsfoss.com

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

Okular might be a bit more popular than Plotly. We know about 44 links to it since March 2021 and only 34 links to Plotly. 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.

Okular mentions (44)

  • Signing PDFs
    If you mean signing as in "signing with your handwritten signature", you could use Okular () which easily allows you to do that. Filling out forms also works nicely. Source: over 2 years ago
  • Alexandria: A minimalistic cross-platform eBook reader
    I was in a similar position lately until I found Okular. Have you tried it? https://okular.kde.org/. - Source: Hacker News / almost 3 years ago
  • Help with PDF's
    I would try Okular first, though, which is free and open source: https://okular.kde.org/. Source: about 3 years ago
  • EPUB 3.3 becomes a W3C recommendation
    KDE's okular might be a good choice. I haven't personally used it for epub but I know it supports it. https://okular.kde.org/. - Source: Hacker News / about 3 years ago
  • Are there any good PDF viewers for large (10Mb+) datasheets that can save search results in the actual PDF, and take notes on the PDF?
    I use okular, don't think it has web export though. Source: 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 Okular and Plotly, you can also consider the following products

Sumatra PDF - Sumatra PDF is a slim PDF/DjVu/EPUB/XPS/CHM/CBR/CBZ/MOBI viewer for Windows.

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.

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

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

calibre - Ebook manager, viewer & converter

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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