## Installation
Small, fast and advanced PNG / APNG encoder and decoder
Html component for react-pdf with CSS support
TypeScript definitions for html-pdf
Convert any html content or html page to PDF
CLI tool for converting Markdown files to PDF.
Generate pdf tables with javascript (jsPDF plugin)
A PNG decoder in JS
PDF embed component for Vue
Pure TypeScript, cross-platform module for extracting text, images, and tabular data from PDFs. Run directly in your browser or in Node!
Display PDFs in your React app as easily as if they were images.
A UI component that uses SurveyJS form JSON schemas to render forms as PDF documents. It populates PDF fields with data collected using SurveyJS Form Library and lets you export your SurveyJS forms as editable or pre-filled PDFs.
merge multiple PDF documents, or parts of them, to a new PDF document
Create and modify PDF files with JavaScript
Convert html strings to PDF documents using React Native
PDF extraction and rendering across all JavaScript runtimes
node pdf creator
TypeScript definitions for html-pdf-node
An angular component for displaying pdfs, wrapping the latest Mozilla PDF.js.
A robust, strictly-typed Node.js and Browser library for parsing office files (.docx, .pptx, .xlsx, .odt, .odp, .ods, .pdf, .rtf, .csv, .md, .html) and generating high-fidelity outputs in Markdown, HTML, CSV, RTF, and RAG-focused chunks.
Export to PDF feature for CKEditor 5.
TypeScript definitions for react-native-html-to-pdf
Register font and emoji source for react-pdf document
The Adobe PDF Services Node.js SDK provides APIs for creating, combining, exporting and manipulating PDFs.
This library # This class contains all the necessary methods to do the following: -Crawl most websites and return an array of their URLS. -Convert all HTML and most web linked PDF documents to one large string given an array of urls. -Parse out all non words and non human sensible markup. -Stooge Sort an array of words via Iteration, NOT recursion. NOTE: Current verison IS using recursive stooge sort! -Write array of words to a new file.
== DESCRIPTION: websitary (formerly known as websitiary with an extra "i") monitors webpages, rss feeds, podcasts etc. It reuses other programs (w3m, diff etc.) to do most of the actual work. By default, it works on an ASCII basis, i.e. with the output of text-based webbrowsers like w3m (or lynx, links etc.) as the output can easily be post-processed. It can also work with HTML and highlight new items. This script was originally planned as a ruby-based websec replacement. By default, this script will use w3m to dump HTML pages and then run diff over the current page and the previous backup. Some pages are better viewed with lynx or links. Downloaded documents (HTML or ASCII) can be post-processed (e.g., filtered through some ruby block that extracts elements via hpricot and the like). Please see the configuration options below to find out how to change this globally or for a single source. This user manual is also available as PDF[http://websitiary.rubyforge.org/websitary.pdf]. == FEATURES/PROBLEMS: * Handle webpages, rss feeds (optionally save attachments in podcasts etc.) * Compare webpages with previous backups * Display differences between the current version and the backup * Provide hooks to post-process the downloaded documents and the diff * Display a one-page report summarizing all news * Automatically open the report in your favourite web-browser * Experimental: Download webpages on defined intervalls and generate incremental diffs.
Aspose.Tasks for Cloud is a REST API for manipulating Microsoft Project documents in the cloud. It allows you to work with all aspects of a Project document including conversion. The API offers a wide range of Microsoft Project export options. The Aspose.Tasks for Cloud API allows developers to convert Project documents to various formats including XML, HTML, BMP, PNG, PDF, and XSLX. The API can be used to list document properties such as a project’s default start and finish time, minutes per week and days per month, work format, default task type, and so on. The API also provides the capability to retrieve information about each task from a Project data file hosted in the cloud. Task information such as name, ID, duration, and start and end dates, can be retrieved. In addition, the API can add new tasks to projects and retrieve information about task links and task assignments. The Aspose.Tasks API can manage project resources for documents hosted in the cloud. It supports adding a new resource, retrieve a list of project resources, and delet existing resources from the Project data. The API also facilitates retrieval of resource assignments information for resources assigned to project tasks. The API provides full access to a project’s calendar collection. Details about project calendars such as ID, name, and working days and time, can be read. New calendars can be added or deleted from hosted project data files. The API can be used to create new calendar exceptions to the Project’s calendars and retrieving a list of existing exceptions.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
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