Python Monorepo Structure

Organize a Python monorepo by establishing a virtual root workspace using uv, then configure member packages within it. Define workspace members in your uv configuration, run uv sync to coordinate dependencies across services, and use per-service workflows to manage builds and deployments.

Use uv workspace to centralize dependency management across packages. Define shared dependencies at the workspace level, let uv sync resolve and align versions for all services, and maintain cross-service references through a shared utilities foundation to prevent version conflicts.

Yes. uv workspace enables virtual root coordination with shared utilities as centralized packages. Members reference these utilities as dependencies, and uv sync keeps all services synchronized with consistent versions and import paths across the monorepo.

A virtual root is a best practice for Python monorepos. It serves as a non-installable coordinate point in uv workspace that enables dependency alignment, shared utility management, and per-service workflows without itself being deployed as a package.

uv workspace requires Python and uv to be installed and configured. It applies best to projects with clear service boundaries and shared utilities; extremely large monorepos or those with conflicting internal dependency requirements may need additional tooling beyond workspace coordination.

After configuring uv workspace members and running uv sync, use per-service Makefiles or task runners to define isolated workflows for each package. This enables independent builds, tests, and deployments while maintaining shared dependency versions enforced by the workspace root.