Conan: a decentralized C and C++ package manager, judged from its repository

What Conan solves for C and C++ builds

C and C++ have no standard package manager. A project that needs zlib, OpenSSL and a JSON library usually vendors sources, shells out to a system package manager, or asks every developer to install the right version by hand. Conan takes the position that a package is not just source code but a set of binaries, one per configuration. The README states the tool can "create, upload and download binaries for any configuration and platform, even cross-compiling", and that binary compatibility "can be configured and customized". That sentence is the whole product thesis: if you build for Linux x86_64 with GCC and also for Windows with MSVC, you want the second build to download a prebuilt artifact instead of recompiling the dependency tree.

The audience is narrower than "all C++ developers". It is teams that already feel the cost of rebuilding dependencies, and teams whose build matrix spans operating systems or compilers. The README lists Linux, macOS, Windows (native, WSL and MinGW), Solaris, FreeBSD, embedded and cross-compiling, plus Docker. A solo developer on one Linux distribution with a handful of dependencies gets less from the binary model, because there is only one configuration to cache.

Recipes, configurations and where packages live

The unit of packaging is a Python recipe, and the README calls the recipe system "Python-based" with "extension points". A recipe describes how to fetch sources, build, and package them. Because it is Python, a recipe can branch on settings, call arbitrary build tools, and define custom logic that a declarative manifest format could not express. The cost is that you are maintaining Python, and a recipe that misbehaves is a Python program that misbehaves.

Distribution is decentralized by design. The README says users "can host their packages on their servers, privately" and that Conan "Integrates with Artifactory and Bintray". There is no single mandatory index in the architecture. That is a real difference from ecosystems where the public registry is the only practical source. It also means that in a company setting, someone has to run the server, and the README does not describe that server's operation, only that hosting your own is supported.

Build system integration is deliberately open. The README claims integration with "any build system, including any proprietary and custom one", with "tested support for major build systems (CMake, MSBuild, Makefiles, Meson, etc)". The distinction between "any" and "tested" matters: the custom path exists, but the tested path is the one with coverage behind it.

Installing Conan from the repository and running a first command

The README documents running Conan from source on Windows, macOS and Linux, not a PyPI install. The first step is to install pip following the pip documentation. Then clone the repository, and note the warning that the directory name matters: some directory names are "known to be problematic to run tests", and `conan-io` was tested and guaranteed to work.

git clone https://github.com/conan-io/conan.git conan-io
cd conan-io && sudo pip install -e .

The README notes that on Windows `sudo` is not required, and that some Linux distributions refuse editable installs into the root Python installation, so a `venv` must be created first. After the editable install, the check is the help output, which should print the consumer commands including `install`.

conan --help

If you see the command list rather than a traceback, the source install worked. This is the maintainer path: the README labels itself the "developer/maintainer documentation" and points users to https://docs.conan.io for user documentation. Anyone who wants a normal install should read that site, because the repository README does not give one.

Contributors who want to run the test suite install three requirement files, set an environment variable, and run pytest. The README warns that specific tool versions are needed, naming cmake>=3.15 among them.

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
export PYTHONPATH=$PYTHONPATH:$(pwd)
python -m pytest .

Tests that need a live Artifactory instance are marked `artifactory_ready` and require environment variables such as `CONAN_TEST_WITH_ARTIFACTORY=1`, `ARTIFACTORY_DEFAULT_URL`, `ARTIFACTORY_DEFAULT_USER` and `ARTIFACTORY_DEFAULT_PASSWORD`. The README states that `ARTIFACTORY_DEFAULT_URL` is the base URL for the Artifactory repository, not one for a specific repository, and that these tests create repositories on the fly, so a separate server should be used.

Where Conan is the wrong tool

The README's own framing is the first limitation: it is maintainer documentation. There is no user install command, no `conanfile.txt` example, and no CMake integration snippet in the README. A developer who lands on the repository page expecting a five-minute install will find the source path instead, and the pointer to docs.conan.io. That is a documentation boundary, not a defect, but it changes who can evaluate the project from the README alone.

Decentralization is the second constraint, and it cuts both ways. Hosting packages yourself is a feature when you need private artifacts. It is overhead when you do not, because nothing in the README says a hosted service is optional in the sense of being unnecessary; it says users "can" host on their servers. What the README does not document is the operational surface of that hosting, including how server-side storage is backed up or how access is controlled. Those questions have to be answered elsewhere.

The Python dependency is the third. Recipes are Python, the tool is distributed as a Python package, and `setup.py` sets `python_requires='>=3.7'`. A shop that cannot put Python on its build agents, or that pins an older interpreter, is outside the supported range. And the binary model is only worth its setup cost when configurations repeat. For a library that builds in seconds on one platform, Conan adds a recipe to maintain and a server to think about in exchange for little.

How Conan differs from vcpkg and system package managers

The closest comparison in the C and C++ space is vcpkg, and the difference is architectural rather than cosmetic. vcpkg is built around a curated registry of ports that a user clones or consumes through a manifest, with a Microsoft-run catalog as the default source. Conan's README describes the opposite default: fully decentralized, with users hosting their own packages and integration with Artifactory for artifact storage. If your organization already runs Artifactory, Conan fits an existing piece of infrastructure. If you want a curated catalog with no server to run, vcpkg's model is closer to that.

System package managers such as apt or the distribution's own tooling differ on a second axis: they resolve against the operating system's ABI and version set. Conan treats configuration as a first-class input, which is why cross-compiling and multi-compiler matrices are in the README's feature list. A system package manager gives you one build of a library for the whole machine. Conan gives you one per configuration you declare. That is the trade: more control, more configuration to get right.

On licensing, Conan is MIT, which permits commercial and private use. The packages you build with it carry their own licenses, and the README says nothing about auditing them, so a compliance review of your dependency tree is a separate exercise from choosing Conan.

Maintenance, releases and upgrade cost

The repository is not archived, and the last push was on 2026-09-21. Recent releases listed are 2.32.0 on 2026-08-31, 2.31.2 on 2026-08-04 and 2.31.1 on 2026-07-24, a cadence of patch releases between minor bumps. The default branch is `develop2`, which tells you where development lands before release.

The README makes a stability claim worth reading carefully: "since 1.0 there is a commitment not to break package recipes and documented behavior". That is a commitment about recipes and documented behavior, not about every internal API. The practical upgrade cost therefore concentrates in two places: recipes that reach into undocumented internals, and the Python requirements files, which pin the dependencies the tool itself needs. The README does not document a rollback procedure for a bad upgrade, so plan one yourself before moving a fleet of build agents.

Licensing is straightforward. Conan is MIT, and the repository carries LICENSE.md at the top level. MIT imposes no copyleft obligation on your own code. It says nothing about the licenses of the third-party packages you consume through Conan, which remain their authors' concern.

Editorial conclusion

Adopt Conan when you ship C or C++ across more than one platform and configuration, because the binary model is what saves build time, and when you can host or reach a server for your own packages. Do not adopt it if you want a manager that resolves purely from a central index with no server concept, or if your project is a single-platform build where a system package manager is enough. Before committing, verify that your build system appears among the tested integrations, that your Python version satisfies the python_requires='>=3.7' floor in setup.py, and that you have somewhere to put packages, since the README describes Conan as decentralized and does not promise a default public host for private artifacts.

Frequently asked questions

Official sources

1. conan-io/conan on GitHub
2. License: MIT
3. Project website
4. README
5. Releases