Specifying dependencies
In uv, project dependencies are declared across two pyproject.toml
tables: project.dependencies
and tool.uv.sources
.
project.dependencies
defines the standards-compliant dependency metadata, propagated when
uploading to PyPI or building a wheel.
tool.uv.sources
enriches the dependency metadata with additional sources, incorporated during
development. A dependency source can be a Git repository, a URL, a local path, or an alternative
registry.
tool.uv.sources
enables uv to support common patterns like editable installations and relative
paths that are not supported by the project.dependencies
standard. For example:
[project]
name = "albatross"
version = "0.1.0"
dependencies = [
"bird-feeder",
]
[tool.uv.sources]
bird-feeder = { path = "./packages/bird-feeder" }
Project dependencies
The project.dependencies
table represents the dependencies that are used when uploading to PyPI or
building a wheel. Individual dependencies are specified using
dependency specifiers
syntax, and the table follows the
PEP 621 standard.
project.dependencies
defines the list of packages that are required for the project, along with
the version constraints that should be used when installing them. Each entry includes a dependency
name and version. An entry may include extras or environment markers for platform-specific packages.
For example:
[project]
name = "albatross"
version = "0.1.0"
dependencies = [
# Any version in this range
"tqdm >=4.66.2,<5",
# Exactly this version of torch
"torch ==2.2.2",
# Install transformers with the torch extra
"transformers[torch] >=4.39.3,<5",
# Only install this package on older python versions
# See "Environment Markers" for more information
"importlib_metadata >=7.1.0,<8; python_version < '3.10'",
"mollymawk ==0.1.0"
]
If the project only requires packages from standard package indexes, then project.dependencies
is
sufficient. If the project depends on packages from Git, remote URLs, or local sources,
tool.uv.sources
can be used to enrich the dependency metadata without ejecting from the
standards-compliant project.dependencies
table.
Tip
See the projects documentation to add, remove, or update
dependencies from the pyproject.toml
from the CLI.
Dependency sources
During development, a project may rely on a package that isn't available on PyPI. The following additional sources are supported by uv:
- Index: A package resolved from a specific package index.
- Git: A Git repository.
- URL: A remote wheel or source distribution.
- Path: A local wheel, source distribution, or project directory.
- Workspace: A member of the current workspace.
Note that if a non-uv project uses a project with sources as a Git- or path-dependency, only
project.dependencies
and project.optional-dependencies
are respected. Any information provided
in the source table will need to be re-specified in a format specific to the other package manager.
To instruct uv to ignore the tool.uv.sources
table (e.g., to simulate resolving with the package's
published metadata), use the --no-sources
flag:
The use of --no-sources
will also prevent uv from discovering any
workspace members that could satisfy a given dependency.
Index
To pin a Python package to a specific index, add a named index to the pyproject.toml
:
[project]
dependencies = [
"torch",
]
[tool.uv.sources]
torch = { index = "pytorch" }
[[tool.uv.index]]
name = "pytorch"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
The explicit
flag is optional and indicates that the index should only be used for packages that
explicitly specify it in tool.uv.sources
. If explicit
is not set, other packages may be resolved
from the index, if not found elsewhere.
Git
To add a Git dependency source, prefix a Git-compatible URL to clone with git+
.
For example:
Will result in a pyproject.toml
with:
[project]
dependencies = [
"httpx",
]
[tool.uv.sources]
httpx = { git = "https://github.com/encode/httpx" }
A revision (i.e., commit), tag, or branch may also be included:
$ uv add git+https://github.com/encode/httpx --tag 0.27.0
$ uv add git+https://github.com/encode/httpx --branch master
$ uv add git+https://github.com/encode/httpx --rev 326b9431c761e1ef1e00b9f760d1f654c8db48c6
Git dependencies can also be manually added or edited in the pyproject.toml
with the
{ git = <url> }
syntax. A target revision may be specified with one of: rev
(i.e., commit),
tag
, or branch
.
A subdirectory
may be specified if the package isn't in the repository root.
URL
To add a URL source, provide a https://
URL to either a wheel (ending in .whl
) or a source
distribution (typically ending in .tar.gz
or .zip
; see
here for all supported formats).
For example:
$ uv add "https://files.pythonhosted.org/packages/5c/2d/3da5bdf4408b8b2800061c339f240c1802f2e82d55e50bd39c5a881f47f0/httpx-0.27.0.tar.gz"
Will result in a pyproject.toml
with:
[project]
dependencies = [
"httpx",
]
[tool.uv.sources]
httpx = { url = "https://files.pythonhosted.org/packages/5c/2d/3da5bdf4408b8b2800061c339f240c1802f2e82d55e50bd39c5a881f47f0/httpx-0.27.0.tar.gz" }
URL dependencies can also be manually added or edited in the pyproject.toml
with the
{ url = <url> }
syntax. A subdirectory
may be specified if the source distribution isn't in the
archive root.
Path
To add a path source, provide the path of a wheel (ending in .whl
), a source distribution
(typically ending in .tar.gz
or .zip
; see here
for all supported formats), or a directory containing a pyproject.toml
.
For example:
Will result in a pyproject.toml
with:
[project]
dependencies = [
"foo",
]
[tool.uv.sources]
foo = { path = "/example/foo-0.1.0-py3-none-any.whl" }
The path may also be a relative path:
Or, a path to a project directory:
Important
An editable installation is not used for path dependencies by default. An editable installation may be requested for project directories:
For multiple packages in the same repository, workspaces may be a better fit.
Workspace member
To declare a dependency on a workspace member, add the member name with { workspace = true }
. All
workspace members must be explicitly stated. Workspace members are always
editable . See the workspace documentation for more
details on workspaces.
[project]
dependencies = [
"mollymawk ==0.1.0"
]
[tool.uv.sources]
mollymawk = { workspace = true }
[tool.uv.workspace]
members = [
"packages/mollymawk"
]
Platform-specific sources
You can limit a source to a given platform or Python version by providing dependency specifiers-compatible environment markers for the source.
For example, to pull httpx
from GitHub, but only on macOS, use the following:
[project]
dependencies = [
"httpx",
]
[tool.uv.sources]
httpx = { git = "https://github.com/encode/httpx", tag = "0.27.2", marker = "sys_platform == 'darwin'" }
By specifying the marker on the source, uv will still include httpx
on all platforms, but will
download the source from GitHub on macOS, and fall back to PyPI on all other platforms.
Multiple sources
You can specify multiple sources for a single dependency by providing a list of sources, disambiguated by PEP 508-compatible environment markers.
For example, to pull in different httpx
commits on macOS vs. Linux:
[project]
dependencies = [
"httpx",
]
[tool.uv.sources]
httpx = [
{ git = "https://github.com/encode/httpx", tag = "0.27.2", marker = "sys_platform == 'darwin'" },
{ git = "https://github.com/encode/httpx", tag = "0.24.1", marker = "sys_platform == 'linux'" },
]
This strategy even extends to pulling packages from different indexes based on environment markers.
For example, to pull torch
from different PyTorch indexes based on the platform:
[project]
dependencies = ["torch"]
[tool.uv.sources]
torch = [
{ index = "torch-cu118", marker = "sys_platform == 'darwin'"},
{ index = "torch-cu124", marker = "sys_platform != 'darwin'"},
]
[[tool.uv.index]]
name = "torch-cu118"
url = "https://download.pytorch.org/whl/cu118"
[[tool.uv.index]]
name = "torch-cu124"
url = "https://download.pytorch.org/whl/cu124"
Optional dependencies
It is common for projects that are published as libraries to make some features optional to reduce
the default dependency tree. For example, Pandas has an
excel
extra and a
plot
extra to avoid
installation of Excel parsers and matplotlib
unless someone explicitly requires them. Extras are
requested with the package[<extra>]
syntax, e.g., pandas[plot, excel]
.
Optional dependencies are specified in [project.optional-dependencies]
, a TOML table that maps
from extra name to its dependencies, following
dependency specifiers syntax.
Optional dependencies can have entries in tool.uv.sources
the same as normal dependencies.
[project]
name = "pandas"
version = "1.0.0"
[project.optional-dependencies]
plot = [
"matplotlib>=3.6.3"
]
excel = [
"odfpy>=1.4.1",
"openpyxl>=3.1.0",
"python-calamine>=0.1.7",
"pyxlsb>=1.0.10",
"xlrd>=2.0.1",
"xlsxwriter>=3.0.5"
]
To add an optional dependency, use the --optional <extra>
option:
Development dependencies
Unlike optional dependencies, development dependencies are local-only and will not be included in
the project requirements when published to PyPI or other indexes. As such, development dependencies
are not included in the [project]
table.
Development dependencies can have entries in tool.uv.sources
the same as normal dependencies.
To add a development dependency, use the --dev
flag:
uv uses the [dependency-groups]
table (as defined in PEP 735)
for declaration of development dependencies. The above command will create a dev
group:
The dev
group is special-cased; there are --dev
, --only-dev
, and --no-dev
flags to toggle
inclusion or exclusion of its dependencies. Additionally, the dev
group is
synced by default.
Dependency groups
Development dependencies can be divided into multiple groups, using the --group
flag.
For example, to add a development dependency in the lint
group:
Which results in the following [dependency-groups]
definition:
Once groups are defined, the --group
, --only-group
, and --no-group
options can be used to
include or exclude their dependencies.
Tip
The --dev
, --only-dev
, and --no-dev
flags are equivalent to --group dev
,
--only-group dev
, and --no-group dev
respectively.
uv requires that all dependency groups are compatible with each other and resolves all groups together when creating the lockfile.
If dependencies declared in one group are not compatible with those in another group, uv will fail to resolve the requirements of the project with an error.
Note
There is currently no way to declare conflicting dependency groups. See astral.sh/uv#6981 to track support.
Default groups
By default, uv includes the dev
dependency group in the environment (e.g., during uv run
or
uv sync
). The default groups to include can be changed using the tool.uv.default-groups
setting.
Tip
To exclude a default group during uv run
or uv sync
, use --no-group <name>
.
Legacy dev-dependencies
Before [dependency-groups]
was standardized, uv used the tool.uv.dev-dependencies
field to
specify development dependencies, e.g.:
Dependencies declared in this section will be combined with the contents in the
dependency-groups.dev
. Eventually, the dev-dependencies
field will be deprecated and removed.
Note
If a tool.uv.dev-dependencies
field exists, uv add --dev
will use the existing section
instead of adding a new dependency-groups.dev
section.
Build dependencies
If a project is structured as Python package, it may declare
dependencies that are required to build the project, but not required to run it. These dependencies
are specified in the [build-system]
table under build-system.requires
, following
PEP 518.
For example, if a project uses setuptools
as its build backend, it should declare setuptools
as
a build dependency:
[project]
name = "pandas"
version = "0.1.0"
[build-system]
requires = ["setuptools>=42"]
build-backend = "setuptools.build_meta"
By default, uv will respect tool.uv.sources
when resolving build dependencies. For example, to use
a local version of setuptools
for building, add the source to tool.uv.sources
:
[project]
name = "pandas"
version = "0.1.0"
[build-system]
requires = ["setuptools>=42"]
build-backend = "setuptools.build_meta"
[tool.uv.sources]
setuptools = { path = "./packages/setuptools" }
When publishing a package, we recommend running uv build --no-sources
to ensure that the package
builds correctly when tool.uv.sources
is disabled, as is the case when using other build tools,
like pypa/build
.
Editable dependencies
A regular installation of a directory with a Python package first builds a wheel and then installs that wheel into your virtual environment, copying all source files. When the package source files are edited, the virtual environment will contain outdated versions.
Editable installations solve this problem by adding a link to the project within the virtual
environment (a .pth
file), which instructs the interpreter to include the source files directly.
There are some limitations to editables (mainly: the build backend needs to support them, and native modules aren't recompiled before import), but they are useful for development, as the virtual environment will always use the latest changes to the package.
uv uses editable installation for workspace packages by default.
To add an editable dependency, use the --editable
flag:
Or, to opt-out of using an editable dependency in a workspace:
Dependency specifiers (PEP 508)
uv uses dependency specifiers, previously known as PEP 508. A dependency specifier is composed of, in order:
- The dependency name
- The extras you want (optional)
- The version specifier
- An environment marker (optional)
The version specifiers are comma separated and added together, e.g., foo >=1.2.3,<2,!=1.4.0
is
interpreted as "a version of foo
that's at least 1.2.3, but less than 2, and not 1.4.0".
Specifiers are padded with trailing zeros if required, so foo ==2
matches foo 2.0.0, too.
A star can be used for the last digit with equals, e.g. foo ==2.1.*
will accept any release from
the 2.1 series. Similarly, ~=
matches where the last digit is equal or higher, e.g., foo ~=1.2
is equal to foo >=1.2,<2
, and foo ~=1.2.3
is equal to foo >=1.2.3,<1.3
.
Extras are comma-separated in square bracket between name and version, e.g.,
pandas[excel,plot] ==2.2
. Whitespace between extra names is ignored.
Some dependencies are only required in specific environments, e.g., a specific Python version or
operating system. For example to install the importlib-metadata
backport for the
importlib.metadata
module, use importlib-metadata >=7.1.0,<8; python_version < '3.10'
. To
install colorama
on Windows (but omit it on other platforms), use
colorama >=0.4.6,<5; platform_system == "Windows"
.
Markers are combined with and
, or
, and parentheses, e.g.,
aiohttp >=3.7.4,<4; (sys_platform != 'win32' or implementation_name != 'pypy') and python_version >= '3.10'
.
Note that versions within markers must be quoted, while versions outside of markers must not be
quoted.