No, conan is not aiming to replace any Python package manager like pip/PyPi. Sorry for the click-bait title, but when we realized what conan was able to do, we couldn’t avoid it :)

Conan is a C and C++ package manager, and to deal with the vast variability of C and C++ build systems, compilers, configurations, etc., it was designed with a great flexibility in mind, trying to let the users do almost what they want. This is one of the reasons to use Python as the scripting language for conan package recipes.

With this flexibility, conan is able to do very different tasks: it is able to package Visual Studio modules, also to package go-lang packages, build packages from sources, from binaries retrieved from elsewhere, etc.

The story started when some users requested a solution to be able to share common python code among their package recipes. Maybe that python code could be managed separately, but being conan a package manager, they requested if they could put the common code in a conan package. So we thought, why not, we already did a proof of concept for other languages as go-lang, should be possible. And it turned out that with very little effort conan can be used as a package manager for Python too. Lets see how:

A basic python package

Let’s begin with a simple python package, a “hello world” functionality that we want to package and reuse:

def hello():
    print("Hello World from Python!")

To create a package, all we need to do is create the following layout:


The is blank. It is not necessary to compile code, so the package recipe is quite simple:

from conans import ConanFile

class HelloPythonConan(ConanFile):
    name = "HelloPy"
    version = "0.1"
    exports = '*'
    build_policy = "missing"

    def package(self):

    def package_info(self):

The exports will copy both the and the into the recipe. The package() method is also obvious: to construct the package just copy the python sources.

The package_info() adds the current package folder to the PYTHONPATH conan environment variable. It will not affect the real environment variable unless the end user want it.

It can be seen that this recipe would be practically the same for most python packages, so it could be factored in a PythonConanFile base class to further simplify it (open a feature request, or better a pull request :) )

With this recipe, all we have to do is:

$ conan export memsharded/testing
$ conan search

Of course if you want to share the package with your team, you can conan upload it to a remote server. But to create and test the package, we can do everything locally.

Now the package is ready for consumption. In another folder, we can create a conanfile.txt (or a if we prefer):


And install it with the following command:

$ conan install -g virtualenv

Creating the above conanfile.txt might be unnecessary for this simple example, as you can directly run conan install HelloPy/0.1@memsharded/testing -g virtualenv, however, using the file is the canonical way.

The specified virtualenv generator will create an activate script (in Windows activate.bat), that basically contains the environment, in this case, the PYTHONPATH. Once we activate it, we are able to find the package in the path and use it:

$ activate
$ python
Python 2.7.12 (v2.7.12:d33e0cf91556, Jun 27 2016, 15:19:22) [MSC v.1500 32 bit (Intel)] on win32
>>> import hello
>>> hello.hello()
Hello World from Python!

The above shows an interactive session, but you can import also the functionality in a regular python script!

And this is basically it! Everything you get from conan, you can easily use it for python: transitives dependencies, conflict resolution, dependency overriding… as well as all the advanced steps that conan provides: build(), package(), package_info(), having different packages for different platforms, managing different remotes in git-like decentralized architecture…

As advanced in the introduction, the real goal of this functionality was to have reusable python code among conan recipes for C and C++ packages. Let`s see how can it be done:

Reusing python code in your recipes

As the conan recipes are python code itself, it is easy to reuse python packages in them. A basic recipe using the created package would be:

from conans import ConanFile, tools

class HelloPythonReuseConan(ConanFile):
    requires = "HelloPy/0.1@memsharded/testing"

    def build(self):
        with tools.pythonpath(self):
            from hello import hello

The requires section is just referencing the previously created package. The functionality of that package can be used in several methods of the recipe: source(), build(), package() and package_info(), i.e. all of the methods used for creating the package itself. Note that in other places it is not possible, as it would require the dependencies of the recipe to be already retrieved, and such dependencies cannot be retrieved until the basic evaluation of the recipe has been executed.

In the above example, the code is reused in the build() method as an example. Note the use of a helper context, which basically activates/deactivates the PYTHONPATH environment variable with the value assigned in the package. We didn’t want to do this activation implicit for all conan packages, but rather make it explicit.

$ conan install -g env -g txt
$ conan build
Hello World from Python!

A full python and C/C++ package manager

Once we realized what could be achieved with this functionality, we couldn’t resist to try a full application. The real utility of this is that conan is a C and C++ package manager. So if we want to create a python package that wraps the functionality of, lets say the Poco C++ library, it can be easily done. Poco itself has transitive (C/C++) dependencies, but they are already handled by conan. Furthermore, a very interesting thing is that nothing has to be done in advance for that library, thanks to useful tools as pybind11, that allows to create python bindings easily.

So let’s build a package with the following files:

  • The package recipe
  • necessary file, blank
  • pypoco.cpp: The C++ code with the pybind11 wrapper for Poco that generates a python extension (a shared library that can be imported from python)
  • CMakeLists.txt: cmake build file that is able to compile pypoco.cpp into a python extension (pypoco.pyd in Windows, in Linux)
  • A python file that makes use of the pypoco python binary extension built with pypoco.cpp
  • test_package/ A test consumer recipe to create and test the package

The pypoco.cpp file can be coded easily thanks to the elegant pybind11 library:

#include <pybind11/pybind11.h>
#include "Poco/Random.h"

using Poco::Random;
namespace py = pybind11;

PYBIND11_PLUGIN(pypoco) {
    py::module m("pypoco", "pybind11 example plugin");
    py::class_<Random>(m, "Random")
        .def("nextFloat", &Random::nextFloat); 
    return m.ptr();

And the file is straigthforward:

import sys
import pypoco

def random_float():
    r = pypoco.Random()
    return r.nextFloat()

The has a few more lines than the above, but still quite easy to understand:

from conans import ConanFile, tools, CMake

class PocoPyReuseConan(ConanFile):
    name = "PocoPy"
    version = "0.1"
    requires = "Poco/1.7.3@lasote/stable", "pybind11/any@memsharded/stable"
    settings = "os", "compiler", "arch", "build_type"
    exports = "*"
    generators = "cmake"
    build_policy = "missing"

    def build(self):
        cmake = CMake(self.settings)
        pythonpaths = "-DPYTHON_INCLUDE_DIR=C:/Python27/include -DPYTHON_LIBRARY=C:/Python27/libs/python27.lib"'cmake %s %s -DEXAMPLE_PYTHON_VERSION=2.7' % (cmake.command_line, pythonpaths))"cmake --build . %s" % cmake.build_config)

    def package(self):

    def package_info(self):

The recipe now declares 2 requires, the Poco library and the pybind11 library that we will be using to create the binary extension.

As we are actually building some C++ code, we need a few important things:

  • Input settings that define the OS, compiler, version and architecture we are using to build our extension. This is necessary, as we will see later, the binary we are building must match the architecture of the python interpreter that we will be using

  • The build() method is used to actually invoke cmake. See in my case I have had to hardcode the python path in the example, as the CMakeLists.txt call to find_package(PythonLibs) didn’t find my python installed in C:/Python27, quite a standard path. I have added the cmake generator too, to be able to easily use the declared requires build information inside my CMakeLists.txt

  • The CMakeLists.txt is not posted here, but is basically the one used by pybind11 example, with just 2 lines to include the conan generated cmake file for dependencies. It can be inspected in the github repo.

  • Note that in my example I am just using Python 2.7 as an input option. If necessary, more options for other interpreters/architectures could be easily provided, as well as to avoiding the hardcoded paths. Even the python interpreter itself could be packaged in a conan package, we have been reported by some users doing so.

The above recipe will generate a different binary for different compilers or versions. As the binary is being wrapped by python, we could avoid this and use the same binary for different setups, modifying this behavior with the conan_info() method.

$ conan export memsharded/testing
$ conan install PocoPy/0.1@memsharded/testing -s arch=x86 -g virtualenv
$ activate
$ python
>>> import poco
>>> poco.random_float()

Now the conan install first invocation will build retrieve the dependencies and build the package. Next invocation will use the cached binaries and be much faster. Note how we have to specify -s arch=x86 to build matching the architecture of the python interpreter to be used, in our case, 32 bits.

Also, in the conan install output we can read the dependencies that are being pulled:

    OpenSSL/1.0.2h@lasote/stable from
    Poco/1.7.3@lasote/stable from
    PocoPy/0.1@memsharded/testing from local
    pybind11/any@memsharded/stable from
    zlib/1.2.8@lasote/stable from

This is the great thing about using conan for this task, by depending on Poco, other C and C++ transitive dependencies are being retrieved and used in the application.

If you want to have a further look to the code of these examples, you can check this github repo. The above examples and code have been tested only in Win10, VS14u2, but might work with other configurations with little or no extra work (but haven’t tested)


Obviously, this does not try to compete with other python package managers. Conan is a C and C++ package manager, focused on C and C++ developers. But when we realized that this was possible, we thought it was a good way to showcase the power, simplicity and versatility of conan as a package manager.

And of course, if you are doing C/C++ and occasionally you need some python in your workflow, as in the conan package recipes themselves, or for some other tooling, you might find this functionality useful. Enjoy!