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Tcpdf VS Plotly

Compare Tcpdf 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

Tcpdf logo Tcpdf

TCPDF: Open Source PHP Class for generating PDF documents

Plotly logo Plotly

Low-Code Data Apps
  • Tcpdf Landing page
    Landing page //
    2022-07-04
  • Plotly Landing page
    Landing page //
    2023-07-31

Tcpdf features and specs

  • Open Source
    TCPDF is an open-source library, which means it is free to use and has a community of developers contributing to its improvement.
  • No External Dependencies
    TCPDF does not rely on any external libraries, making it easier to integrate and manage within projects without worrying about additional dependencies.
  • High Customizability
    The library offers extensive customization options for PDF creation, including layouts, fonts, images, and more.
  • Supports Multiple Languages
    TCPDF has built-in support for several languages, including those with special character sets like Arabic, Chinese, and Cyrillic.
  • Wide Range of Features
    TCPDF includes a wide range of features like barcodes, QR codes, page compression, encryption, and digital signatures.
  • Detailed Documentation
    TCPDF comes with comprehensive and detailed documentation, making it easier for developers to learn and implement its features.

Possible disadvantages of Tcpdf

  • Performance Issues
    For large PDF files or documents with complex layouts, TCPDF can be slower and consume more memory compared to some other PDF libraries.
  • Steeper Learning Curve
    Due to its rich feature set and flexibility, new users might find it difficult to learn and navigate TCPDF initially.
  • Limited Support for Modern Features
    TCPDF may lack support for some modern and advanced PDF features, such as interactive forms or JavaScript within PDFs.
  • Dated Codebase
    The library has been around for a long time, and some parts of its codebase may not follow modern PHP coding practices, making it less elegant to work with.
  • No Official Support
    Being an open-source project, there is no official customer support, so resolving issues might rely on community assistance.

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 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.

Tcpdf videos

+ Add

Make PDF report in PHP with TCPDF | TCPDF Tutorial #1

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 Tcpdf and Plotly)

Tcpdf

Plotly

HTML To PDF
100 100%
HTML To PDF
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Tool
100 100%
Tool
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 Tcpdf and Plotly

Tcpdf 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 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

Based on our record, Plotly should be more popular than Tcpdf. 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.

Tcpdf mentions (11)

  • Generating PDF documents in Laravel
    Other popular PDF libraries include TCPDF, FPDF, and Snappy. - Source: dev.to / about 2 years ago
  • PostScriptโ€™s Sudden Death in Sonoma
    TCPDF has full support for rendering an EPS into a PDF. It can be fussy. https://tcpdf.org/. - Source: Hacker News / almost 3 years ago
  • Python to what?
    Idk whatโ€™s the big problem. Maybe itโ€™s just something like https://tcpdf.org ? Using that for years. Source: over 3 years ago
  • pdf generation
    Running a headless browser to render HTML is a resource intensive task. If you only need to generate simple documents, you're better off using a tool that generates PDF directly. In the old days we used FPDF and its successors (TCPDF was the most popular). Both seem to have recent releases. There's also mPDF , that seems to be another child of FPDF. Source: over 3 years ago
  • Create PDF from Excel.
    You may want to look at a PDF library (Python/PHP/Perl/Java, etc.) You can do all you mention with a lot of flexibility. Tcpdf comes immediately to mind, there is also a Python port. If you want to learn a language, I recommend python. Learning how to make a basic program when it is something that you want, and you know what you want is a great way to learn. Source: about 4 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 / 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
View more

What are some alternatives?

When comparing Tcpdf 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.

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

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.

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