Software Alternatives, Accelerators & Startups

HTML2PDF.fr VS Plotly

Compare HTML2PDF.fr VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

HTML2PDF.fr logo HTML2PDF.fr

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

Plotly logo Plotly

Low-Code Data Apps
  • HTML2PDF.fr Landing page
    Landing page //
    2023-07-31
  • Plotly Landing page
    Landing page //
    2023-07-31

HTML2PDF.fr features and specs

  • Ease of Use
    HTML2PDF.fr provides a user-friendly interface that makes it simple to convert HTML to PDF without needing extensive technical knowledge.
  • Integration Capability
    The tool offers APIs that make it easy to integrate HTML to PDF conversion functionality into various applications and workflows.
  • Customization Options
    Allows for various customization options, such as setting the PDF metadata, customizing headers and footers, and changing page orientation and size.
  • Fast Conversion
    HTML2PDF.fr performs quick conversions, allowing users to generate PDFs from HTML content in a short amount of time.
  • Cross-Platform Compatibility
    Being web-based, the service is accessible from any platform with a web browser, making it versatile and convenient.

Possible disadvantages of HTML2PDF.fr

  • Cost
    While HTML2PDF.fr offers a free version, more advanced features and higher usage limits are only available via a paid subscription.
  • Limited Free Capabilities
    The free version has limitations on the number of conversions and the complexity of the HTML that can be converted, which might not be sufficient for heavy users.
  • Potential Formatting Issues
    Complex HTML and CSS may not always be rendered perfectly in the resulting PDF, requiring additional adjustments.
  • Dependency on Internet Connection
    As an online service, it requires a stable internet connection, which may not be ideal for all users or situations.
  • Security Concerns
    Uploading sensitive HTML content to an online service may raise security and privacy concerns for some users, particularly for confidential or sensitive documents.

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 HTML2PDF.fr

Overall verdict

  • Good

Why this product is good

  • HTML2PDF.fr is generally considered a good tool for converting HTML documents to PDF format due to its ease of use, reliability, and ability to handle a wide range of HTML/CSS features. It is especially beneficial for those who need a quick and straightforward solution for converting web pages to PDF without the need for extensive configuration.

Recommended for

    HTML2PDF.fr is recommended for web developers, digital marketers, and business professionals who require an efficient solution for creating PDF versions of web content. It's also suitable for individuals looking for a simple tool to convert online articles, reports, or any HTML content into PDF files for offline reading or sharing.

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.

HTML2PDF.fr videos

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Plotly videos

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 HTML2PDF.fr and Plotly)
HTML To PDF
100 100%
0% 0
Data Visualization
0 0%
100% 100
PDF Conversion API
100 100%
0% 0
Charting Libraries
0 0%
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 HTML2PDF.fr and Plotly

HTML2PDF.fr Reviews

Best BFO Java PDF Library Alternatives (2024) for your project
BFO The strength of Java PDF Library is that it can do many PDF jobs well. Document Cyborg is a great choice because it has a lot of features for a price. PDFium and HTML2PDF are good picks for people who want free options. PDFSwitch, Pdfcrowd, HTML to PDF Converter Library for.NET, and Aspose are all strong competitors.PDF for Java add to the beauty of the world. Users can...

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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

HTML2PDF.fr mentions (0)

We have not tracked any mentions of HTML2PDF.fr yet. Tracking of HTML2PDF.fr recommendations started around Mar 2021.

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 / 5 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
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What are some alternatives?

When comparing HTML2PDF.fr 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.

pdflayer - Free, powerful HTML to PDF API supporting both URL and raw HTML conversion. Unlimited document size, lightning-fast and compatible PHP, Python, Ruby, etc.

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

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

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.