Conan C/C++ package manager
Decentralized, open-source (MIT), C/C++ package manager.
- Homepage: https://conan.io/
- Github: https://github.com/conan-io/conan
- Docs: https://docs.conan.io/en/latest/
- Slack: https://cpplang-inviter.cppalliance.org/ (#conan channel)
- Twitter: https://twitter.com/conan_io
Conan is a package manager for C and C++ developers:
- It is fully decentralized. Users can host their packages in their servers, privately. Integrates with Artifactory and Bintray.
- Portable. Works across all platforms, including Linux, OSX, Windows (with native and first-class support, WSL, MinGW), Solaris, FreeBSD, embedded and cross-compiling, docker, WSL
- Manage binaries. It can create, upload and download binaries for any configuration and platform, even cross-compiling, saving lots of time in development and continuous integration. The binary compatibility can be configured and customized. Manage all your artifacts in the same way on all platforms.
- Integrates with any build system, including any proprietary and custom one. Provides tested support for major build systems (CMake, MSBuild, Makefiles, Meson, etc).
- Extensible: Its python based recipes, together with extensions points allows for great power and flexibility.
- Large and active community, especially in Github (https://github.com/conan-io/conan) and Slack (https://cpplang-inviter.cppalliance.org/ #conan channel). This community also creates and maintains packages in ConanCenter and Bincrafters repositories in Bintray.
- Stable. Used in production by many companies, since 1.0 there is a commitment not to break package recipes and documented behavior.
Please read https://docs.conan.io/en/latest/installation.html to know how to install and start using Conan. TL;DR:
$ pip install conan
Install a development version
You can run Conan client and server in Windows, MacOS, and Linux.
Install pip following pip docs.
Clone Conan repository:
$ git clone https://github.com/conan-io/conan.git conan-io
NOTE: repository directory name matters, some directories are known to be problematic to run tests (e.g. conan). conan-io directory name was tested and guaranteed to be working.
Install in editable mode
$ cd conan && sudo pip install -e .
If you are in Windows, using sudo is not required.
You are ready, try to run Conan:
$ conan --help Consumer commands install Installs the requirements specified in a conanfile (.py or .txt). config Manages configuration. Edits the conan.conf or installs config files. get Gets a file or list a directory of a given reference or package. info Gets information about the dependency graph of a recipe. search Searches package recipes and binaries in the local cache or in a remote. Creator commands new Creates a new package recipe template with a 'conanfile.py'. create Builds a binary package for a recipe (conanfile.py) located in the current dir. upload Uploads a recipe and binary packages to a remote. export Copies the recipe (conanfile.py & associated files) to your local cache. export-pkg Exports a recipe & creates a package with given files calling 'package'. test Test a package, consuming it with a conanfile recipe with a test() method. Package development commands source Calls your local conanfile.py 'source()' method. build Calls your local conanfile.py 'build()' method. package Calls your local conanfile.py 'package()' method. Misc commands profile Lists profiles in the '.conan/profiles' folder, or shows profile details. remote Manages the remote list and the package recipes associated with a remote. user Authenticates against a remote with user/pass, caching the auth token. imports Calls your local conanfile.py or conanfile.txt 'imports' method. copy Copies conan recipes and packages to another user/channel. remove Removes packages or binaries matching pattern from local cache or remote. alias Creates and exports an 'alias recipe'. download Downloads recipe and binaries to the local cache, without using settings. Conan commands. Type "conan <command> -h" for help
Contributing to the project
Feedback and contribution are always welcome in this project. Please read our contributing guide.
Running the tests
$ python -m tox
It will install the needed requirements and launch pytest skipping some heavy and slow tests. If you want to run the full test suite:
$ python -m tox -e full
Install python requirements
$ python -m pip install -r conans/requirements.txt $ python -m pip install -r conans/requirements_server.txt $ python -m pip install -r conans/requirements_dev.txt
If you are not Windows and you are not using a python virtual environment, you will need to run these commands using sudo.
Before you can run the tests, you need to set a few environment variables first.
$ export PYTHONPATH=$PYTHONPATH:$(pwd)
On Windows it would be (while being in the Conan root directory):
$ set PYTHONPATH=.
Ensure that your cmake has version 2.8 or later. You can see the version with the following command:
$ cmake --version
The appropriate values of CONAN_COMPILER and CONAN_COMPILER_VERSION depend on your operating system and your requirements.
These should work for the GCC from build-essential on Ubuntu 14.04:
$ export CONAN_COMPILER=gcc $ export CONAN_COMPILER_VERSION=4.8
These should work for OS X:
$ export CONAN_COMPILER=clang $ export CONAN_COMPILER_VERSION=3.5
You can run the actual tests like this:
$ python -m pytest .
There are a couple of test attributes defined, as slow that you can use to filter the tests, and do not execute them:
$ python -m pytest . -m "not slow"
A few minutes later it should print OK:
............................................................................................ ---------------------------------------------------------------------- Ran 146 tests in 50.993s OK
To run specific tests, you can specify the test name too, something like:
$ python -m pytest conans/test/unittests/client/cmd/export_test.py::ExportTest::test_export_warning -s
The -s argument can be useful to see some output that otherwise is captured by pytest.
Also, you can run tests against an instance of Artifactory. Those tests should add the attribute artifactory_ready.
$ python -m pytest . -m artifactory_ready
Some environment variables have to be defined to run them. For example, for an Artifactory instance that is running on the localhost with default user and password configured, the variables could take the values:
$ export CONAN_TEST_WITH_ARTIFACTORY=1 $ export ARTIFACTORY_DEFAULT_URL=http://localhost:8081/artifactory $ export ARTIFACTORY_DEFAULT_USER=admin $ export ARTIFACTORY_DEFAULT_PASSWORD=password
ARTIFACTORY_DEFAULT_URL is the base url for the Artifactory repo, not one for an specific repository. Running the tests with a real Artifactory instance will create repos on the fly so please use a separate server for testing purposes.
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