A simple, small, efficient C++ XML parser that can be easily integrated into other programs.
TinyXML2 is a lightweight C++ XML parser that creates a Document Object Model (DOM) from XML documents, allowing developers to read, modify, and save XML data. It solves the problem of parsing arbitrary data formats by providing a single, efficient parser that can replace multiple custom file formats. The library is designed to be minimal and fast with no external dependencies.
C++ developers who need to parse, generate, or manipulate XML data in performance-sensitive applications like games, embedded systems, or utilities where minimal footprint is important.
Developers choose TinyXML2 for its exceptional simplicity (just two files), efficiency (low memory usage and fast parsing), and ease of integration compared to larger, more complex XML parsers. Its lack of dependencies and flexible licensing make it suitable for both open source and commercial projects.
TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs.
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Consists of just one header and one source file, making it trivial to add to any C++ project without complex build systems, as highlighted in the features section.
Uses fewer memory allocations and is faster than its predecessor, TinyXML-1, specifically designed for performance-sensitive applications like games.
Supports multiple modes including preservation, collapse, and pedantic, allowing customization based on application needs, though collapse mode has a performance impact.
Provides line numbers for parsing errors and node locations, aiding in debugging and validation, as mentioned in the error reporting section.
Explicitly does not parse or use DTDs or XSLs, limiting its usefulness for applications that require these XML standards, as admitted in the README.
The COLLAPSE_WHITESPACE mode requires parsing the XML twice, which can impact performance for large documents, as noted in the whitespace handling section.
The README states that major version changes fairly rapidly and API changes are common, potentially leading to maintenance overhead and breaking changes.