gituser/production/: pybind11-2.2.4 metadata and description

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Seamless operability between C++11 and Python

author Wenzel Jakob
author_email wenzel.jakob@epfl.ch
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Developers
  • Topic :: Software Development :: Libraries :: Python Modules
  • Topic :: Utilities
  • Programming Language :: C++
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.2
  • Programming Language :: Python :: 3.3
  • Programming Language :: Python :: 3.4
  • Programming Language :: Python :: 3.5
  • Programming Language :: Python :: 3.6
  • License :: OSI Approved :: BSD License
download_url https://github.com/pybind/pybind11/tarball/v2.2.4
keywords C++11,Python bindings
license BSD
File Tox results History
pybind11-2.2.4-py2.py3-none-any.whl
Size
142 KB
Type
Python Wheel
Python
2.7
pybind11-2.2.4.tar.gz
Size
130 KB
Type
Source

pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the excellent Boost.Python by David Abrahams: to minimize boilerplate code in traditional extension modules by inferring type information using compile-time introspection.

The main issue with Boost.Python-and the reason for creating such a similar project-is Boost. Boost is an enormously large and complex suite of utility libraries that works with almost every C++ compiler in existence. This compatibility has its cost: arcane template tricks and workarounds are necessary to support the oldest and buggiest of compiler specimens. Now that C++11-compatible compilers are widely available, this heavy machinery has become an excessively large and unnecessary dependency.

Think of this library as a tiny self-contained version of Boost.Python with everything stripped away that isn’t relevant for binding generation. Without comments, the core header files only require ~4K lines of code and depend on Python (2.7 or 3.x, or PyPy2.7 >= 5.7) and the C++ standard library. This compact implementation was possible thanks to some of the new C++11 language features (specifically: tuples, lambda functions and variadic templates). Since its creation, this library has grown beyond Boost.Python in many ways, leading to dramatically simpler binding code in many common situations.