The [[http://cppyy.readthedocs.io|cppyy]] package provides fast, automatic, Python-C++ bindings, including run-time instantiation of C++ templates, cross-inheritance, callbacks, auto-casting, transparent use of smart pointers, etc., etc. Many C++ idioms are automatically recognized and "pythonized" (given a Python look-and-feel), allowing drop-in placement in Python idioms and integration with standard libraries such as  NumPy and ctypes. Most importantly it makes it possible to write higher-level (with ownership, threading, and application-specific rules) Python modules on top of C++ in pure Python, without the need to learn an intermediate language or language extension.

Cppyy works by integrating the Clang/LLVM-based [[https://github.com/vgvassilev/cling|Cling C++ interpreter]], providing interactive access to C/C++ from Python. It enables calling C++ from Python and calling Python from C++. Using precompiled modules, a class loader, and an everything-lazy implementation, cppyy is designed for automatic generation of Python bindings for large scale C++ programs. PyPy supports cppyy natively for high performance, as described in this [[http://wlav.web.cern.ch/wlav/Cppyy_LavrijsenDutta_PyHPC16.pdf|PyHPC'16]] paper.

An example session follows:

{{{#!highlight python
>>> import cppyy
>>> cppyy.cppdef("""
... class MyClass {
... public:
...    MyClass(int i) : m_data(i) {}
...    virtual ~MyClass() {}
...    virtual int add_int(int i) { return m_data + i; }
...    int m_data;
... };""")                               # defines a new C++ class
>>> from cppyy.gbl import MyClass        # bound on-the-fly
>>> v = cppyy.gbl.std.vector[MyClass]()  # template generated
>>> v += [MyClass(i) for i in range(2)]
>>> len(v)
2
>>> for m in v:                          # idiomatically mapped
...    print(m.m_data)
...
0
1
# create a C++ function on the fly and attach on the Python side
>>> cppyy.cppdef("auto add_int = [](MyClass* m, int a) { return m->m_data + a; };")
>>> MyClass.add_int = lambda self, i: cppyy.gbl.add_int(self, i)
>>> for m in v:
...    print(m.add_int(1))
...
1
2
# cross inheritence (CPython only for now)
>>> class PyMyClass(MyClass):
...    def add_int(self, i):
...       return self.m_data + 2*i
...
# helper on C++ side to show inheritence
>>> cppyy.cppdef("int callback(MyClass* m, int i) { return m->add_int(i); }")
>>> cppyy.gbl.callback(m, 2)             # calls C++ add_int
3
>>> cppyy.gbl.callback(PyMyClass(1), 2)  # calls Python-side override
5
}}}
Source and wheels (for ManyLinux, Mac, and Windows 32b and 64b) are available on PyPI. To install, run:

{{{
$ python -m pip install cppyy
}}}
If you prefer conda, cpppy is also available from conda-forge for Linux and Mac:

{{{
$ conda install -c conda-forge cppyy
}}}
Full details are in the cppyy documentation: http://cppyy.readthedocs.io