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XMLStarlet is a set of command line utilities (toolkit) to query, transform, validate, and edit XML documents and files using a simple set of shell commands in a way similar to how it is done with UNIX grep, sed, awk, diff, patch, join, etc commands.
You can also use regular expressions to directly process parts of the XML code. These run fast but are difficult to maintain. Please list methods and tools for processing XML export here: Parse::MediaWikiDump is a perl module for processing the XML dump file. m:Processing MediaWiki XML with STX - Stream based XML transformation
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]
In order for a web browser to be able to apply an XSL transformation to an XML document on display, an XML stylesheet processing instruction can be inserted into XML. So, for example, if the stylesheet in Example 2 above were available as "example2.xsl", the following instruction could be added to the original incoming XML: [25]
CDATA sections are useful for writing XML code as text data within an XML document. For example, if one wishes to typeset a book with XSL explaining the use of an XML application, the XML markup to appear in the book itself will be written in the source file in a CDATA section.
XML Script: XML Script is an imperative scripting language inspired by Perl that uses the XML syntax. XML Script supports XPath and its proprietary DSLPath for selecting nodes from the input tree. FXT: FXT is a functional XML transformation tool, implemented in Standard ML. XDuce: XDuce is a typed language with a lightweight syntax, compared to ...
A free open source tool to convert from CSV and Excel files to wiki table format: csv2other; Spreadsheet-to-MediaWiki-table-Converter This class constructs a MediaWiki-format table from an Excel/GoogleDoc copy & paste. It provides a variety of methods to modify the style.
Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.