node package manager
Share your code. npm Orgs help your team discover, share, and reuse code. Create a free org »


jgeXml - The Just-Good-Enough XML Toolkit

Build status Join the chat at

Share on Twitter Follow on Twitter

jgeXml provides an event-driven parser to process XML 1.0 / 1.1. Both pull and push modes are supported. Tools are included for writing XML (documents or fragments) and to convert between XML and JSON (one way JSON to YAML conversion is also supported).

The code has no dependencies on other modules or native libraries.

Setting up a push-parser is as simple as:

    var jgeXml = require('jgeXml');
    var result = jgeXml.parse(xml,function(state,token) {

Events (stateCodes)


No event is generated for ignoreable whitespace, unlike SAX. Empty elements are normalised into sElement/sEndElement pairs.


jgeXml is a non-validating parser. It attempts to report if the XML is well-formed or not.

Both when reading and writing, attributes follow after the element event, and in the order they are given in the source.

When converting to JSON, the attributePrefix (to avoid name clashes with child elements) is configurable per parse.

In JSON, child elements can be represented as properties (the default) or objects (exposing the parser's intermediary state).

The parser by default treats all content as strings when converting to JSON, optionally data can be coerced to primitive numbers or null values.

The utility xsd2json can convert most XML Schemas to JSON schema draft 4. XSD's may of course be converted to JSON simply as if they were XML documents too.

Experimental JSONPath and JSONT utilities are under development.


jgeXml is currently schema agnostic and staunchly atheist when it comes to DTDs. It can parse XML documents with schema information, but it is up to the consumer to interpret the namespace portions of element names. It can parse internal DTDs, but does nothing with them. xmlWrite minimally supports DTDs but you must build them and the DOCTYPE yourself.

The parser is string-based; to process streams, read the data into a string first. It may be memory intensive on large documents.


See testx2x for parsing XML to XML, testx2j for parsing XML to JSON, testj2x for converting JSON to XML, testj2y for converting JSON to YAML, testfrag for writing XML fragments, testjpath for JSONPath examples, testjsont for JSONT examples and pullparser / pushparser for how to set up and run the parser.