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# pybind11 — Seamless operability between C++11 and Python | |
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**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][] library 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 3.5+, or PyPy) 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. | |
Tutorial and reference documentation is provided at | |
[pybind11.readthedocs.org][]. A PDF version of the manual is available | |
[here][docs-pdf]. | |
## Core features | |
pybind11 can map the following core C++ features to Python: | |
- Functions accepting and returning custom data structures per value, reference, or pointer | |
- Instance methods and static methods | |
- Overloaded functions | |
- Instance attributes and static attributes | |
- Arbitrary exception types | |
- Enumerations | |
- Callbacks | |
- Iterators and ranges | |
- Custom operators | |
- Single and multiple inheritance | |
- STL data structures | |
- Smart pointers with reference counting like `std::shared_ptr` | |
- Internal references with correct reference counting | |
- C++ classes with virtual (and pure virtual) methods can be extended in Python | |
## Goodies | |
In addition to the core functionality, pybind11 provides some extra goodies: | |
- Python 2.7, 3.5+, and PyPy (tested on 7.3) are supported with an implementation-agnostic | |
interface. | |
- It is possible to bind C++11 lambda functions with captured variables. The | |
lambda capture data is stored inside the resulting Python function object. | |
- pybind11 uses C++11 move constructors and move assignment operators whenever | |
possible to efficiently transfer custom data types. | |
- It's easy to expose the internal storage of custom data types through | |
Pythons' buffer protocols. This is handy e.g. for fast conversion between | |
C++ matrix classes like Eigen and NumPy without expensive copy operations. | |
- pybind11 can automatically vectorize functions so that they are transparently | |
applied to all entries of one or more NumPy array arguments. | |
- Python's slice-based access and assignment operations can be supported with | |
just a few lines of code. | |
- Everything is contained in just a few header files; there is no need to link | |
against any additional libraries. | |
- Binaries are generally smaller by a factor of at least 2 compared to | |
equivalent bindings generated by Boost.Python. A recent pybind11 conversion | |
of PyRosetta, an enormous Boost.Python binding project, | |
[reported][pyrosetta-report] a binary size reduction of **5.4x** and compile | |
time reduction by **5.8x**. | |
- Function signatures are precomputed at compile time (using `constexpr`), | |
leading to smaller binaries. | |
- With little extra effort, C++ types can be pickled and unpickled similar to | |
regular Python objects. | |
## Supported compilers | |
1. Clang/LLVM 3.3 or newer (for Apple Xcode's clang, this is 5.0.0 or newer) | |
2. GCC 4.8 or newer | |
3. Microsoft Visual Studio 2015 Update 3 or newer | |
4. Intel C++ compiler 17 or newer (16 with pybind11 v2.0 and 15 with pybind11 | |
v2.0 and a [workaround][intel-15-workaround]) | |
5. Cygwin/GCC (tested on 2.5.1) | |
## About | |
This project was created by [Wenzel Jakob](http://rgl.epfl.ch/people/wjakob). | |
Significant features and/or improvements to the code were contributed by | |
Jonas Adler, | |
Lori A. Burns, | |
Sylvain Corlay, | |
Trent Houliston, | |
Axel Huebl, | |
@hulucc, | |
Sergey Lyskov | |
Johan Mabille, | |
Tomasz Miąsko, | |
Dean Moldovan, | |
Ben Pritchard, | |
Jason Rhinelander, | |
Boris Schäling, | |
Pim Schellart, | |
Henry Schreiner, | |
Ivan Smirnov, and | |
Patrick Stewart. | |
### Contributing | |
See the [contributing guide][] for information on building and contributing to | |
pybind11. | |
### License | |
pybind11 is provided under a BSD-style license that can be found in the | |
[`LICENSE`][] file. By using, distributing, or contributing to this project, | |
you agree to the terms and conditions of this license. | |
[pybind11.readthedocs.org]: http://pybind11.readthedocs.org/en/master | |
[docs-pdf]: https://media.readthedocs.org/pdf/pybind11/master/pybind11.pdf | |
[Boost.Python]: http://www.boost.org/doc/libs/1_58_0/libs/python/doc/ | |
[pyrosetta-report]: http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf | |
[contributing guide]: https://github.com/pybind/pybind11/blob/master/.github/CONTRIBUTING.md | |
[`LICENSE`]: https://github.com/pybind/pybind11/blob/master/LICENSE | |
[intel-15-workaround]: https://github.com/pybind/pybind11/issues/276 | |