Add more context around using workspaces. Closes #5604. Preview (ignore the glitchy navbar): 
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Workspaces
Workspaces help organize large codebases by splitting them into multiple packages with independent
dependencies. Each package in a workspace has its own pyproject.toml, but they are all locked
together in a shared lockfile and installed to shared virtual environment.
Using the project interface, uv run and uv sync will install all packages of the workspace,
unless you select a single workspace member with --package. When using the uv pip interface,
workspace dependencies behave like editable path dependencies.
When (not) to use workspaces
One common use case for a workspace is that the codebase grows large, and eventually you want some modules to become independent packages with their own dependency specification. Other use cases are separating parts of the codebase with different responsibilities, e.g. in a repository with a library package and CLI package, where the CLI package makes features of the library available but has additional dependencies, a webserver with a backend and an ingestion package, or a library that has a performance-critical subroutine implemented in a native language.
Workspaces are not suited when you don't want to install all members together, members have conflicting requirements, or you simply want individual virtual environments per project. In this case, use regular (editable) relative path dependencies.
Currently, workspace don't properly support different members having different requires-python
values, we apply the highest of all requires-python lower bounds to the entire workspace. You need
to use a uv pip to install individual member in an older virtual environment.
!!! note
As Python does not provide dependency isolation, uv can't ensure that a package uses only the dependencies it has declared, and not also imports a package that was installed for another dependency. For workspaces specifically, uv can't ensure that packages don't import dependencies declared by another workspace member.
Usage
A workspace can be created by adding a tool.uv.workspace table to a pyproject.toml that will
become the workspace root. This table contains members (mandatory) and exclude (optional), with
lists of globs of directories:
[tool.uv.workspace]
members = ["packages/*", "examples/*"]
exclude = ["example/excluded_example"]
uv.lock and .venv for the entire workspace are created next to this pyproject.toml. All
members need to be in directories below it.
If tool.uv.sources is defined in the workspace root, it applies to all members, unless overridden
in the tool.uv.sources of a specific member.
Using uv init inside a workspace will add the newly created package to members.
Common structures
There a two main workspace structures: A root package with helpers and a flat workspace.
The root workspace layout defines one main package in the root of the repository, with helper
packages in packages. In this example albatross/pyproject.toml has both a project section and
a tool.uv.workspace section.
albatross
├── packages
│ ├── provider_a
│ │ ├── pyproject.toml
│ │ └── src
│ │ └── provider_a
│ │ ├── __init__.py
│ │ └── foo.py
│ └── provider_b
│ ├── pyproject.toml
│ └── src
│ └── provider_b
│ ├── __init__.py
│ └── bar.py
├── pyproject.toml
├── README.md
├── uv.lock
└── src
└── albatross
└── main.py
In the flat layout, all packages are in the packages directory, and the root pyproject.toml
defines a so-called virtual workspace. In this example albatross/pyproject.toml has only a
tool.uv.workspace section, but no project.
albatross
├── packages
│ ├── albatross
│ │ ├── pyproject.toml
│ │ └── src
│ │ └── albatross
│ │ ├── __init__.py
│ │ └── foo.py
│ ├── provider_a
│ │ ├── pyproject.toml
│ │ └── src
│ │ └── provider_a
│ │ ├── __init__.py
│ │ └── foo.py
│ └── provider_b
│ ├── pyproject.toml
│ └── src
│ └── provider_b
│ ├── __init__.py
│ └── bar.py
├── pyproject.toml
├── README.md
└── uv.lock
In the flat layout, you may still define development dependencies in the workspace root
pyproject.toml:
[tool.uv.workspace]
members = ["packages/*"]
[tool.uv]
dev-dependencies = [
"pytest >=8.3.2,<9"
]