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wkhtmltopdf VS Plotly

Compare wkhtmltopdf VS Plotly and see what are their differences

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wkhtmltopdf logo wkhtmltopdf

wkhtmltopdf is an open source (LGPL) command line tools to render HTML into PDF and various image...

Plotly logo Plotly

Low-Code Data Apps
  • wkhtmltopdf Landing page
    Landing page //
    2021-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

wkhtmltopdf features and specs

  • HTML to PDF Conversion
    wkhtmltopdf allows for the conversion of HTML and CSS content into PDF documents, making it easier to generate reports, invoices, and other necessary documentation from web content.
  • Open Source
    As an open-source tool, wkhtmltopdf is free to use, modify, and distribute, making it accessible to developers with varying budgets.
  • Cross-Platform
    wkhtmltopdf is available on multiple operating systems, including Windows, macOS, and Linux, offering flexibility for developers working in different environments.
  • High Quality PDFs
    It utilizes the WebKit rendering engine, which ensures that the PDFs generated maintain high fidelity to the original HTML content.
  • Command Line Interface
    The tool provides a robust command-line interface that allows for scripting and automation, which can greatly enhance productivity.
  • Supports Complex Layouts
    wkhtmltopdf can handle complex layouts including CSS, JavaScript, and media queries, making it suitable for intricate designs.

Possible disadvantages of wkhtmltopdf

  • Large Files
    Generated PDF files can be quite large, especially if the HTML content includes heavy use of images and other media.
  • Resource Intensive
    wkhtmltopdf can be resource-intensive, requiring significant CPU and memory, which might be a concern for high-volume or real-time generation needs.
  • Limited Support for New Web Standards
    As an older tool, it sometimes struggles to keep up with the latest web standards and features, which may lead to partial rendering of more modern web content.
  • Steep Learning Curve
    The tool has many options and configurations, which can be overwhelming for beginners or those not familiar with command-line operations.
  • Dependency on System Libraries
    Installation and operation can be complex due to dependencies on specific system libraries, which can complicate deployment and maintenance.
  • Lack of Official Support
    Being an open-source project, it lacks professional support, which means that users may need to rely on community forums and resources for troubleshooting.

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 wkhtmltopdf

Overall verdict

  • Yes, wkhtmltopdf is considered a good option for HTML to PDF conversion, especially if you need precise rendering and support for modern web standards. However, it may require some tweaking and does come with limitations on complex JavaScript and dynamic content.

Why this product is good

  • wkhtmltopdf is a popular tool for converting HTML documents into PDF format. It is favored because it uses the WebKit rendering engine, which ensures that the PDFs closely resemble the web page's appearance in a modern browser. This allows for high-quality and accurate conversions, including support for complex layouts, CSS, and JavaScript.

Recommended for

  • Developers and teams needing to generate PDFs from HTML content in web applications.
  • Organizations requiring batch processing of HTML documents into PDFs.
  • Situations where accurate reproduction of web page styling in PDF format is essential.

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.

wkhtmltopdf videos

+ Add

✔️ Como instalar wkhtmltopdf ubuntu (compatible con cualquier odoo 11) Facil y rapido 2018

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 wkhtmltopdf and Plotly)

wkhtmltopdf

Plotly

HTML To PDF
100 100%
HTML To PDF
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
PDF Conversion API
100 100%
PDF Conversion API
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 wkhtmltopdf and Plotly

wkhtmltopdf Reviews

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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 that’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

wkhtmltopdf might be a bit more popular than Plotly. We know about 39 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.

wkhtmltopdf mentions (39)

  • Introducing fulgur: a blazing fast HTML-to-PDF engine in Rust — no browser required
    For years, wkhtmltopdf was the default. It's now archived, and the WebKit version it bundles has been frozen for years. Modern CSS doesn't really land there. - Source: dev.to / 5 months ago
  • DinkToPdf Alternatives: IronPDF for C# HTML to PDF
    Add the native libwkhtmltox binary to your output directory (Windows/Linux/macOS versions available from wkhtmltopdf.org). - Source: dev.to / about 1 year ago
  • Using ColdFusion and Xpdf to extract PDF metadata
    Recently when using CFPDF to personalize an existing single-page cover PDF by adding a watermark, I needed to know both the dimensions & rotation of the preexisting PDF so I could generate a PDF (using WKHTMLTOPDF) with the correct watermark placement. I decided to use Xpdf's pdfinfo.exe to extract this information primarily so that the output would be consistent regardless of which version of CFML platform is... - Source: dev.to / over 1 year ago
  • PDF Generation, Bloat and Optimization
    WKHTMLTOPDF (LGPLv3; portable) tends to be faster and generate smaller PDFs. It can also run concurrently and generate PDFs in the background without using a ColdFusion thread or impacting the Java heap memory. Download. - Source: dev.to / over 1 year ago
  • Hack WKHTMLTOPDF PDF to enable Adobe Acrobat Field Editing
    I recently integrated the auto-generation of survey results into a downloadable PDF using ColdFusion and WKHTMLTOPDF 0.12.6. Our client provided a pre-generated PDF cover page with some editable fields that we prepended to the PDF using PDFtk. Unfortunately, all auto-generated bookmarks became unusable after cover page is prepended. - Source: dev.to / almost 2 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 / 6 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!🤓
    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 / almost 2 years 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 wkhtmltopdf and Plotly, you can also consider the following products

PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request

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.

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

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

WeasyPrint - WeasyPrint is a visual rendering engine for HTML and CSS that can export to PDF.

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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