Traditionally, XML is parsed either by an event-based parser or by a tree-based parser. Event-based parsers are fast and have minimal memory consumption, but implementing the event handlers is cumbersome. Tree-based parsers result in code that is easier to develop, to understand and to maintain, but have high memory consumption as the whole parse tree needs to be kept in memory at the same time. JavaXMLFrag is a partial parse tree based parser, where only parts of the parse tree need to be kept in memory at the same time. It therefore combines the benefits of tree-based parsers and event-based parsers.

Project Activity

See All Activity >

Categories

XML Parsers

License

MIT License

Follow JavaXMLFrag

JavaXMLFrag Web Site

Other Useful Business Software
Zenflow- The AI Workflow Engine for Software Devs Icon
Zenflow- The AI Workflow Engine for Software Devs

Parallel agents. Multi-agent orchestration. Specs that turn into shipped code. Zenflow automates planning, coding, testing, and verification.

Zenflow is the AI workflow engine built for real teams. Parallel agents plan, code, test, and verify in one workflow. With spec-driven development and deep context, Zenflow turns requirements into production-ready output so teams ship faster and stay in flow.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of JavaXMLFrag!

Additional Project Details

Intended Audience

Developers

Programming Language

Java

Related Categories

Java XML Parsers

Registered

2013-10-02