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.
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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.
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
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
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
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
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
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
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
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
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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