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ggplot2 VS PDFium

Compare ggplot2 VS PDFium and see what are their differences

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

ggplot2 logo ggplot2

Application and Data, Libraries, and Charting Libraries

PDFium logo PDFium

The C# PDF Library to Create and Edit PDF documents in .
  • ggplot2 Landing page
    Landing page //
    2023-02-27
  • PDFium Landing page
    Landing page //
    2023-06-05

ggplot2 features and specs

  • Elegant Data Visualization
    ggplot2 offers a high level of abstraction for creating complex multi-layered graphics using a coherent and consistent syntax.
  • Grammar of Graphics
    It is built around the Grammar of Graphics, allowing users to build plots by combining different components in a clear and structured manner.
  • Extensibility
    ggplot2 is highly extensible, enabling users and developers to create their own geoms, stats, and themes.
  • Integration with Tidyverse
    It is part of the tidyverse, thus integrating smoothly with other tools and packages for data manipulation and cleaning, like dplyr and tidyr.
  • Wide Range of Plot Types
    Users can create a diverse array of plots from simple bar graphs to complex multi-panel plots seamlessly.

Possible disadvantages of ggplot2

  • Steep Learning Curve
    New users may find the syntax and grammar approach unfamiliar and difficult initially, which can make simple plotting tasks feel complicated.
  • Performance with Large Datasets
    Rendering plots with ggplot2 can be slower than base R graphics when dealing with very large datasets.
  • Complex Customization
    While customization is robust, it can become cumbersome and verbose for users needing plots with high levels of customization.
  • Limited Interactivity
    ggplot2 primarily focuses on static plotting; additional libraries are needed to create interactive plots.

PDFium features and specs

  • Comprehensive PDF Editing
    PDFium provides a wide array of functionalities for editing PDFs, including rendering, text extraction, and annotation support, which makes it suitable for various PDF-related tasks.
  • Open Source
    As an open-source library, PDFium allows developers to access and modify the source code, fostering transparency and enabling customization for specific needs.
  • Cross-Platform Support
    PDFium can be used across different platforms, including Windows, macOS, and Linux, making it versatile for applications that require cross-platform compatibility.
  • High Performance
    PDFium is designed for high performance, enabling quick rendering and processing of PDF documents, which is crucial for applications that handle large volumes of PDFs.

Possible disadvantages of PDFium

  • Complexity of Integration
    Integrating PDFium into a project can be complex, especially for those unfamiliar with C++ or low-level programming, potentially requiring a steep learning curve.
  • Limited Documentation
    Compared to some commercial PDF libraries, PDFium's documentation may not be as extensive or detailed, making it challenging for developers to find solutions to specific issues.
  • Lack of Advanced Features
    While PDFium covers fundamental PDF functionalities, it may lack some advanced features found in specialized or commercial PDF libraries, such as digital signatures or form handling.
  • Maintenance and Updates
    Being an open-source project, the frequency and quality of updates or maintenance could vary, depending on community contributions and support.

ggplot2 videos

+ Add

Learn R: An Introduction to ggplot2

More videos:

  • Review - Review ggplot2 Line Graph Exercise
  • Review - Code-through and review of Ggplot2 in 2

PDFium videos

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

Add video

Category Popularity

0-100% (relative to ggplot2 and PDFium)

ggplot2

PDFium

Data Visualization
100 100%
Data Visualization
0% 0
HTML To PDF
0 0%
HTML To PDF
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
PDF Tools
0 0%
PDF Tools
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 ggplot2 and PDFium

ggplot2 Reviews

5 Best Python Libraries For Data Visualization in 2023
ggplot is a system for creating graphics declaratively. Itโ€™s based on the Grammar of Graphics of R programming language and is tightly integrated with Pandas. ggplot just requires you to declare how to map the variables to aesthetics and primitives to use and handles the rest automatically. Remember, ggplot is not recommended for creating highly customized graphics.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Ggplot is a Python data visualization library that is based on the implementation of ggplot2 which is created for the programming language R. Ggplot can create data visualizations such as bar charts, pie charts, histograms, scatterplots, error charts, etc. using high-level API. It also allows you to add different types of data visualization components or layers in a single...
Source: www.geeksforgeeks.org

PDFium Reviews

  1. Basker
    Lousy platform which is incompatible with Adobe Acrobat

    PDF Files created using PDFium cannot be opened properly in Adobe Acrobat Reader DC... they simply open as Blank pages.... Totally Useless software given it is doesnt work with the most popular PDF reader on earth !!

    ๐Ÿ Competitors: Adobe Reader
    ๐Ÿ‘Ž Cons:    Not compatible with adobe acrobat

Social recommendations and mentions

Based on our record, ggplot2 seems to be a lot more popular than PDFium. While we know about 12 links to ggplot2, we've tracked only 1 mention of PDFium. 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.

ggplot2 mentions (12)

  • Plotnine
    Plotnine is heavily inspired by the ggplot2 library, which uses the + operator in the same way: https://ggplot2.tidyverse.org/#usage. - Source: Hacker News / about 2 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / about 3 years ago
  • Relative frequency of letters in five-letter English words (Wordle aid) [OC]
    I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package. Source: about 3 years ago
  • [OC] U.S. News & World Report Best Colleges: 2002 to 2023
    Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: about 3 years ago
  • Facts about Aaron Boone's Ejections as Manager
    I used the ggplot2 package in R to create these figures. Source: about 3 years ago
View more

PDFium mentions (1)

  • QuestPDF 2022.3 - a new release of the modern, open-source library for PDF generation ๐ŸŽ‰ Please help me make it popular ๐Ÿš€
    For example this one has an example of doing that on their home page: https://pdfium.patagames.com/. Source: over 4 years ago

What are some alternatives?

When comparing ggplot2 and PDFium, you can also consider the following products

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

HTML2PDF.fr - HTML2PDF is a HTML to PDF converter that allows the conversion of valid HTML 4.

Plotly - Low-Code Data Apps

HTML PDF API - Easily generate PDF documents from HTML code with our powerful API

Bokeh - Bokeh visualization library, documentation site.

Tcpdf - TCPDF: Open Source PHP Class for generating PDF documents

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