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remove-markdown is a node.js module that will remove (strip) Markdown formatting from text. Markdown formatting means pretty much anything that doesn’t look like regular text, like square brackets, asterisks etc.
The main features of stiang/remove-markdown are: Parsing Tools.
Projects with overlapping indexed features include: andrejewski/himalaya — Try online 🚀 | Read the specification 📖. apostrophecms/sanitize-html — This is an HTML sanitization library designed to remove dangerous tags and attributes from user-submitted HTML to… dtstack/dt-sql-parser — [npm-image]: https://img.shields.io/npm/v/dt-sql-parser.svg?style=flat-square [npm-url]:… eemeli/yaml. fb55/htmlparser2 — htmlparser2 is a collection of tools for high-performance markup parsing, DOM manipulation, and incremental stream… adaltas/node-csv — This library is a CSV data serializer and stringifier for transforming structured records into comma-separated values.…
This is an HTML sanitization library designed to remove dangerous tags and attributes from user-submitted HTML to prevent cross-site scripting attacks. It functions as a content filter that whitelists specific elements and attributes while escaping or discarding unauthorized markup. The project includes an HTML transformation engine that allows for the modification or replacement of tags and attributes using custom logic. It also features a CSS style validator to clean inline properties against permitted patterns and a system for resource URL validation to restrict hostnames and schemes. The
npm-image: https://img.shields.io/npm/v/dt-sql-parser.svg?style=flat-square npm-url: https://www.npmjs.com/package/dt-sql-parser
This library is a CSV data serializer and stringifier for transforming structured records into comma-separated values. It provides tools for converting data records into plain text via synchronous, callback-based, or stream-based implementations. The project distinguishes itself by offering a streaming implementation through the native Node.js Transform API, which allows for the processing of large datasets without loading all records into memory. It also includes a flexible formatting system to define specific delimiters, quotes, escape characters, and header configurations. The toolset cov
