How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Validate XML, Parse XML and Build XML rapidly without C/C++ based libraries and no callback.
The main features of naturalintelligence/fast-xml-parser are: Parsing Tools, Parsing Utilities.
Projects with overlapping indexed features include: mafintosh/csv-parser — Streaming csv parser inspired by binary-csv that aims to be faster than everyone else. nodeca/js-yaml — js-yaml is a JavaScript library providing a programmatic interface for parsing and dumping YAML data. It functions as… inikulin/parse5 — parse5 is a WHATWG HTML parser and serializer for Node.js. It transforms HTML strings into a document object model and… leonidas-from-xiv/node-xml2js — This project is a Node.js library for bidirectional conversion between XML strings and JavaScript objects. It… markdown-it/markdown-it — markdown-it is a token-based Markdown compiler and CommonMark-compliant parser that converts structured plaintext… sindresorhus/neat-csv — Fast CSV parser.
This project is a Node.js library for bidirectional conversion between XML strings and JavaScript objects. It functions as an XML parser that transforms XML content into structured data and an XML serializer that generates formatted strings from JavaScript data objects. The toolkit includes a data transformer that applies custom processing functions to tags and attributes during the conversion process. It manages XML namespaces and supports the definition of custom root elements to maintain document structure during generation. The system handles XML data parsing, string generation, and name
Streaming csv parser inspired by binary-csv that aims to be faster than everyone else
parse5 is a WHATWG HTML parser and serializer for Node.js. It transforms HTML strings into a document object model and converts those trees back into valid HTML strings, following the logic defined by the HTML Living Standard. The project functions as a streaming HTML processor, using incremental parsing to handle large documents in chunks. It includes an HTML5 compliant tokenizer that uses a state-machine approach to break input into tokens according to official web specifications. The toolset covers HTML document parsing, serialization, and real-time rewriting via streams. These capabiliti
markdown-it is a token-based Markdown compiler and CommonMark-compliant parser that converts structured plaintext markup into HTML. It functions as an extensible markup processor designed to transform text into browser-ready content while managing security and preventing cross-site scripting. The project is distinguished by a modular plugin system that allows for the extension of parsing capabilities and the addition of custom syntax, such as footnotes, tables, or emojis. It utilizes a two-stage tokenization process to break documents into structural tokens before rendering them into final HT