conan

Conan is a decentralized, open-source package and dependency manager for C and C++ developers. It manages not just sources but binaries: it can create, upload, and download compiled packages for any configuration, compiler, and platform, saving large amounts of time in development and CI by avoiding rebuilds.

Distributed on PyPI but used as a command-line tool, Conan integrates with any build system — CMake, Meson, MSBuild, Makefiles, and custom ones — through Python-based recipes and extension points. Packages can be hosted anywhere, from the public ConanCenter to private Artifactory servers, giving teams full control over their C/C++ supply chain across Linux, macOS, Windows, embedded, and cross-compilation targets.

What You Get

• A CLI to install, create, upload, and manage C/C++ packages and binaries
• Binary management with configurable, per-configuration binary compatibility
• Python-based recipes for defining how packages are built and consumed
• Generators and integrations for CMake, Meson, MSBuild, Makefiles, and more
• Decentralized hosting via ConanCenter or private Artifactory servers

Common Use Cases

• Managing third-party C/C++ dependencies reproducibly across a team
• Caching and reusing compiled binaries to speed up CI builds
• Cross-compiling and targeting multiple platforms from one recipe set
• Hosting private C/C++ packages on internal servers

Under The Hood

Architecture — The Conan 2.x codebase separates a stable public API from the CLI and the internals. conan/api/ exposes the programmatic ConanAPI, conan/cli/ implements the command-line surface on top of it, and conan/tools/ holds the build-system integrations (CMake, Meson, MSBuild, Autotools generators). conan/internal/ contains the graph resolver, cache, and package layout logic, while conans/server/ provides the reference package server. A dependency install resolves a graph of recipes, computes a package ID per node from settings and options, and then either downloads a matching prebuilt binary or builds it locally.

Tech Stack — Pure Python (packaged via setup.py/pyproject.toml, also shipped as a PyInstaller executable). Recipes are themselves Python classes, so the tool is deeply extensible; runtime requirements are intentionally light (requests, PyYAML, patch/urllib helpers) to keep it portable across the many platforms it targets.

Code Quality — This is a mature, production-grade project: extensive test/ and conan/test/ suites, pytest configuration, codecov integration, active CI, and an explicit stability commitment not to break documented recipe behavior within a major line. Contributor count and release cadence are high.

API Design — For end users the CLI is consistent and discoverable (conan install, conan create, conan upload, conan graph), and the separation of a supported ConanAPI from CLI internals makes automation clean. The learning curve is real, though — package IDs, settings/options/profiles, and recipe authoring form a rich model that takes time to master, which is inherent to the C/C++ binary-management problem it solves.