Python Wrapper 性能研究
本文探讨了Python Wrapper Tools的性能研究，指出手动封装仍然是最快且最灵活的方式。此外，对比了SIP、Boost、Babel及SWIG等工具的特点：SIP生成最快的封装；SWIG成熟且文档齐全；Boost.Python提供最优美的C++与Python整合；Babel支持多种语言作为目标和源。
Python Wrapper Tools: A Performance Study
● Manual wrapping is still fastest and most versatile
● SIP, Boost and Babel generate native extension modules with low overhead
● SWIG-generated modules rely on pure Python wrapper module and introduce a large overhead
● Wrapper tool highlights
○ SIP generates the fastest wrappers
○ SWIG is mature and well documented
○ Boost.Python most elegant integration of C++ and Python
○ Babel supports languages as both target and source
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