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RapidXml 1.13 released

RapidXml 1.13 is now available for download at http://rapidxml.sourceforge.net

This is a bug-fix release, which fixes potential crash problems on alignment-sensitive architectures present in previous versions.

RapidXml is now even more stable, but stays as fast and small as always!

Posted by mack 2009-05-15

RapidXml 1.12 Released

This release contains many bugfixes for the XML printer. The manual was improved and extended, with additional sections describing how to use the printing functions. Also, test harness was updated with a new makefile-based build system. Some bugs in tests were fixed to ensure that no bogus failures are produced under Linux.

Posted by mack 2008-11-07

RapidXml 1.11 released

This is a bugfix release for rapidxml 1.1. Parse XML almost as fast as you do strlen()!

A bug was fixed which could cause memory corruption when clear() function of memory_pool was called, when static and dynamic pool sizes were different.

Posted by mack 2008-05-04

RapidXml 1.1 Released - Parse XML as fast as you do strlen()

This is release 1.1 of RapidXml XML parser.

RapidXml is an attempt to create the fastest XML DOM parser possible, while retaining useability, portability and reasonable W3C compatibility. It is an in-situ parser written in modern C++, with parsing speed approaching that of strlen function executed on the same data.

This release introduces an improved, leaner and more intuitive interface for the parser and DOM tree, and adds several new useful functions and parsing flags. Speed of the parser remains blazing fast, as always. Additionally, test suite has been further extended to provide more safety as changes are applied to the source code.... read more

Posted by mack 2007-08-07

RapidXml 1.0 Released

This is release 1.0 of RapidXml, an attempt to create the fastest XML DOM parser possible, while retaining useability, portability and reasonable W3C compatibility. It is an in-situ parser written in C++, with parsing speed approaching that of strlen() function executed on the same data.

Posted by mack 2007-03-27