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Okular VS Matplotlib

Compare Okular VS Matplotlib 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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Okular Landing page
    Landing page //
    2023-05-02
  • Matplotlib Landing page
    Landing page //
    2023-06-14

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.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

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 Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

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

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Okular and Matplotlib)

Okular

Matplotlib

PDF Tools
100 100%
PDF Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
PDF Editor
100 100%
PDF Editor
0% 0
Technical Computing
0 0%
Technical Computing
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 Okular and Matplotlib

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

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Okular. It has been mentiond 114 times since March 2021. 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

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Okular and Matplotlib, 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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

calibre - Ebook manager, viewer & converter

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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