threed-beam-fea/ext/rapidjson/doc/performance.md

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# Performance
There is a [native JSON benchmark collection] [1] which evaluates speed, memory usage and code size of various operations among 37 JSON libraries.
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[1]: https://github.com/miloyip/nativejson-benchmark
The old performance article for RapidJSON 0.1 is provided [here](https://code.google.com/p/rapidjson/wiki/Performance).
Additionally, you may refer to the following third-party benchmarks.
## Third-party benchmarks
* [Basic benchmarks for miscellaneous C++ JSON parsers and generators](https://github.com/mloskot/json_benchmark) by Mateusz Loskot (Jun 2013)
* [casablanca](https://casablanca.codeplex.com/)
* [json_spirit](https://github.com/cierelabs/json_spirit)
* [jsoncpp](http://jsoncpp.sourceforge.net/)
* [libjson](http://sourceforge.net/projects/libjson/)
* [rapidjson](https://github.com/Tencent/rapidjson/)
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* [QJsonDocument](http://qt-project.org/doc/qt-5.0/qtcore/qjsondocument.html)
* [JSON Parser Benchmarking](http://chadaustin.me/2013/01/json-parser-benchmarking/) by Chad Austin (Jan 2013)
* [sajson](https://github.com/chadaustin/sajson)
* [rapidjson](https://github.com/Tencent/rapidjson/)
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* [vjson](https://code.google.com/p/vjson/)
* [YAJL](http://lloyd.github.com/yajl/)
* [Jansson](http://www.digip.org/jansson/)