Software Alternatives, Accelerators & Startups

DynamicDocs API VS Plotly

Compare DynamicDocs API VS Plotly and see what are their differences

DynamicDocs API logo DynamicDocs API

Dynamic PDF Generation via API and Excel

Plotly logo Plotly

Low-Code Data Apps
  • DynamicDocs API Landing page
    Landing page //
    2021-04-08

ADVICEment's DynamicDocs API automates PDF generation and creates dynamic, optimized, interactive PDFs within seconds. Write your templates in LaTeX or call the existing library of JSON to PDF templates with your data.

The template files are stored in your dashboard and can be edited, tested and published online. Document templates can contain dynamic text using logic statements, include tables stretching multiple pages and show great-looking charts based on the underlying data. LaTeX creates crisp, high-quality documents where every detail is well-positioned and styled.

Integrate with ADVICEment DynamicDocs API in minutes and start to generate documents for your needs.

  • Plotly Landing page
    Landing page //
    2023-07-31

DynamicDocs API features and specs

  • Free Plan: Yes
  • JSON to PDF Tempaltes: Yes
  • LaTeX Templates: Yes

Plotly features and specs

No features have been listed yet.

DynamicDocs API 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 DynamicDocs API and Plotly)
PDF Conversion API
100 100%
0% 0
Data Visualization
0 0%
100% 100
PDF Tools
100 100%
0% 0
Data Dashboard
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 DynamicDocs API and Plotly

DynamicDocs API 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.
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 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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than DynamicDocs API. It has been mentiond 29 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.

DynamicDocs API mentions (4)

  • JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
    In this article, we show how to control the layout and content of the PDF document via the JSON body of the API call with DynamicDocs API. We present three different JSON examples and produce three different types of documents using the same end-point. In each case, making changes to the PDF is done by editing the JSON payload. To do this, we utilise the power of LaTeX to control the layout of the PDF document. - Source: dev.to / about 1 year ago
  • 5 Advantages of Using LaTeX API for PDF Generation
    The use cases above centre around using LaTeX for PDF generation. This article presents five advantages of using the DynamicDocs API to generate documents through LaTeX instead of the more common HTML to PDF approach. - Source: dev.to / over 1 year ago
  • How to convert Tex to PDF with a LaTeX API
    With that in mind, the DynamicDocs API approach to PDF generation is to use LaTeX, a language that is designed for high-quality typesetting. - Source: dev.to / over 1 year ago
  • Technology Options for Automated Dynamic PDF Generation
    To the best of our knowledge, DynamicDocs API, developed by ADVICEment, is the first API product that uses LaTeX to generate PDF documents with dynamic text, tables, and charts. The template files are written on the ADVICEment platform using LaTeX, where they can be tested and compiled. The dynamic data used in the documents are passed in the JSON format as the body of the API call. In the template files, one can... - Source: dev.to / almost 3 years ago

Plotly mentions (29)

  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing DynamicDocs API and Plotly, you can also consider the following products

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.

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.

Documint - Automated PDF generation

Chart.js - Easy, object oriented client side graphs for designers and developers.

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

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application