Resolution
Resolution is the process of taking a list of requirements and converting them to a list of package versions that fulfill the requirements. Resolution requires recursively searching for compatible versions of packages, ensuring that the requested requirements are fulfilled and that the requirements of the requested packages are compatible.
Dependencies
Most projects and packages have dependencies. Dependencies are other packages that are necessary in order for the current package to work. A package defines its dependencies as requirements, roughly a combination of a package name and acceptable versions. The dependencies defined by the current project are called direct dependencies. The dependencies added by each dependency of the current project are called indirect or transitive dependencies.
Note
See the dependency specifiers page in the Python Packaging documentation for details about dependencies.
Basic examples
To help demonstrate the resolution process, consider the following dependencies:
- The project depends on
foo
andbar
. foo
has one version, 1.0.0:foo 1.0.0
depends onlib>=1.0.0
.
bar
has one version, 1.0.0:bar 1.0.0
depends onlib>=2.0.0
.
lib
has two versions, 1.0.0 and 2.0.0. Both versions have no dependencies.
In this example, the resolver must find a set of package versions which satisfies the project
requirements. Since there is only one version of both foo
and bar
, those will be used. The
resolution must also include the transitive dependencies, so a version of lib
must be chosen.
foo 1.0.0
allows all available versions of lib
, but bar 1.0.0
requires lib>=2.0.0
so
lib 2.0.0
must be used.
In some resolutions, there may be more than one valid solution. Consider the following dependencies:
- The project depends on
foo
andbar
. foo
has two versions, 1.0.0 and 2.0.0:foo 1.0.0
has no dependencies.foo 2.0.0
depends onlib==2.0.0
.
bar
has two versions, 1.0.0 and 2.0.0:bar 1.0.0
has no dependencies.bar 2.0.0
depends onlib==1.0.0
lib
has two versions, 1.0.0 and 2.0.0. Both versions have no dependencies.
In this example, some version of both foo
and bar
must be selected; however, determining which
version requires considering the dependencies of each version of foo
and bar
. foo 2.0.0
and
bar 2.0.0
cannot be installed together as they conflict on their required version of lib
, so the
resolver must select either foo 1.0.0
(along with bar 2.0.0
) or bar 1.0.0
(along with
foo 1.0.0
). Both are valid solutions, and different resolution algorithms may yield either result.
Platform markers
Markers allow attaching an expression to requirements that indicate when the dependency should be
used. For example bar ; python_version < "3.9"
indicates that bar
should only be installed on
Python 3.8 and earlier.
Markers are used to adjust a package's dependencies based on the current environment or platform. For example, markers can be used to modify dependencies by operating system, CPU architecture, Python version, Python implementation, and more.
Note
See the environment markers section in the Python Packaging documentation for more details about markers.
Markers are important for resolution because their values change the required dependencies. Typically, Python package resolvers use the markers of the current platform to determine which dependencies to use since the package is often being installed on the current platform. However, for locking dependencies this is problematic — the lockfile would only work for developers using the same platform the lockfile was created on. To solve this problem, platform-independent, or "universal" resolvers exist.
uv supports both platform-specific and universal resolution.
Universal resolution
uv's lockfile (uv.lock
) is created with a universal resolution and is portable across platforms.
This ensures that dependencies are locked for everyone working on the project, regardless of
operating system, architecture, and Python version. The uv lockfile is created and modified by
project commands such as uv lock
, uv sync
, and uv add
.
universal resolution is also available in uv's pip interface, i.e.,
uv pip compile
, with the --universal
flag. The resulting requirements file
will contain markers to indicate which platform each dependency is relevant for.
During universal resolution, a package may be listed multiple times with different versions or URLs if different versions are needed for different platforms — the markers determine which version will be used. A universal resolution is often more constrained than a platform-specific resolution, since we need to take the requirements for all markers into account.
During universal resolution, a minimum Python version must be specified. Project commands read the
minimum required version from project.requires-python
in the pyproject.toml
. When using uv's pip
interface, provide a value with the --python-version
option; otherwise, the current Python version
will be treated as a lower bound. For example, --universal --python-version 3.9
performs a
universal resolution for Python 3.9 and later.
During universal resolution, all selected dependency versions must be compatible with the entire
requires-python
range declared in the pyproject.toml
. For example, if a project's
requires-python
is >=3.8
, then uv will not allow any dependency versions that are limited to,
e.g., Python 3.9 and later, as they are not compatible with Python 3.8, the lower bound of the
project's supported range. In other words, the project's requires-python
must be a subset of the
requires-python
of all its dependencies.
When evaluating requires-python
ranges for dependencies, uv only considers lower bounds and
ignores upper bounds entirely. For example, >=3.8, <4
is treated as >=3.8
.
Platform-specific resolution
By default, uv's pip interface, i.e., uv pip compile
, produces a resolution
that is platform-specific, like pip-tools
. There is no way to use platform-specific resolution in
the uv's project interface.
uv also supports resolving for specific, alternate platforms and Python versions with the
--python-platform
and --python-version
options. For example, if using Python 3.12 on macOS,
uv pip compile --python-platform linux --python-version 3.10 requirements.in
can be used to
produce a resolution for Python 3.10 on Linux instead. Unlike universal resolution, during
platform-specific resolution, the provided --python-version
is the exact python version to use,
not a lower bound.
Note
Python's environment markers expose far more information about the current machine
than can be expressed by a simple --python-platform
argument. For example, the platform_version
marker
on macOS includes the time at which the kernel was built, which can (in theory) be encoded in
package requirements. uv's resolver makes a best-effort attempt to generate a resolution that is
compatible with any machine running on the target --python-platform
, which should be sufficient for
most use cases, but may lose fidelity for complex package and platform combinations.
Dependency preferences
If resolution output file exists, i.e. a uv lockfile (uv.lock
) or a requirements output file
(requirements.txt
), uv will prefer the dependency versions listed there. Similarly, if
installing a package into a virtual environment, uv will prefer the already installed version if
present. This means that locked or installed versions will not change unless an incompatible version
is requested or an upgrade is explicitly requested with --upgrade
.
Resolution strategy
By default, uv tries to use the latest version of each package. For example,
uv pip install flask>=2.0.0
will install the latest version of Flask, e.g., 3.0.0. If
flask>=2.0.0
is a dependency of the project, only flask
3.0.0 will be used. This is important,
for example, because running tests will not check that the project is actually compatible with its
stated lower bound of flask
2.0.0.
With --resolution lowest
, uv will install the lowest possible version for all dependencies, both
direct and indirect (transitive). Alternatively, --resolution lowest-direct
will use the lowest
compatible versions for all direct dependencies, while using the latest compatible versions for all
other dependencies. uv will always use the latest versions for build dependencies.
For example, given the following requirements.in
file:
Running uv pip compile requirements.in
would produce the following requirements.txt
file:
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in
blinker==1.7.0
# via flask
click==8.1.7
# via flask
flask==3.0.0
itsdangerous==2.1.2
# via flask
jinja2==3.1.2
# via flask
markupsafe==2.1.3
# via
# jinja2
# werkzeug
werkzeug==3.0.1
# via flask
However, uv pip compile --resolution lowest requirements.in
would instead produce:
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in --resolution lowest
click==7.1.2
# via flask
flask==2.0.0
itsdangerous==2.0.0
# via flask
jinja2==3.0.0
# via flask
markupsafe==2.0.0
# via jinja2
werkzeug==2.0.0
# via flask
When publishing libraries, it is recommended to separately run tests with --resolution lowest
or
--resolution lowest-direct
in continuous integration to ensure compatibility with the declared
lower bounds.
Pre-release handling
By default, uv will accept pre-release versions during dependency resolution in two cases:
- If the package is a direct dependency, and its version specifiers include a pre-release specifier
(e.g.,
flask>=2.0.0rc1
). - If all published versions of a package are pre-releases.
If dependency resolution fails due to a transitive pre-release, uv will prompt use of
--prerelease allow
to allow pre-releases for all dependencies.
Alternatively, the transitive dependency can be added as a constraint or
direct dependency (i.e. in requirements.in
or pyproject.toml
) with a pre-release version
specifier (e.g., flask>=2.0.0rc1
) to opt-in to pre-release support for that specific dependency.
Pre-releases are notoriously difficult to model, and are a frequent source of bugs in other packaging tools. uv's pre-release handling is intentionally limited and requires user opt-in for pre-releases to ensure correctness.
For more details, see Pre-release compatibility.
Dependency constraints
Like pip, uv supports constraint files (--constraint constraints.txt
) which narrow the set of
acceptable versions for the given packages. Constraint files are similar to requirements files, but
being listed as a constraint alone will not cause a package to be included to the resolution.
Instead, constraints only take effect if a requested package is already pulled in as a direct or
transitive dependency. Constraints are useful for reducing the range of available versions for a
transitive dependency. They can also be used to keep a resolution in sync with some other set of
resolved versions, regardless of which packages are overlapping between the two.
Dependency overrides
Dependency overrides allow bypassing unsuccessful or undesirable resolutions by overriding a package's declared dependencies. Overrides are a useful last resort for cases in which you know that a dependency is compatible with a certain version of a package, despite the metadata indicating otherwise.
For example, if a transitive dependency declares the requirement pydantic>=1.0,<2.0
, but does
work with pydantic>=2.0
, the user can override the declared dependency by including
pydantic>=1.0,<3
in the overrides, thereby allowing the resolver to choose a newer version of
pydantic
.
Concretely, if pydantic>=1.0,<3
is included as an override, uv will ignore all declared
requirements on pydantic
, replacing them with the override. In the above example, the
pydantic>=1.0,<2.0
requirement would be ignored completely, and would instead be replaced with
pydantic>=1.0,<3
.
While constraints can only reduce the set of acceptable versions for a package, overrides can expand the set of acceptable versions, providing an escape hatch for erroneous upper version bounds. As with constraints, overrides do not add a dependency on the package and only take effect if the package is requested in a direct or transitive dependency.
In a pyproject.toml
, use tool.uv.override-dependencies
to define a list of overrides. In the
pip-compatible interface, the --override
option can be used to pass files with the same format as
constraints files.
If multiple overrides are provided for the same package, they must be differentiated with markers. If a package has a dependency with a marker, it is replaced unconditionally when using overrides — it does not matter if the marker evaluates to true or false.
Dependency metadata
During resolution, uv needs to resolve the metadata for each package it encounters, in order to determine its dependencies. This metadata is often available as a static file in the package index; however, for packages that only provide source distributions, the metadata may not be available upfront.
In such cases, uv has to build the package to determine its metadata (e.g., by invoking setup.py
).
This can introduce a performance penalty during resolution. Further, it imposes the requirement that
the package can be built on all platforms, which may not be true.
For example, you may have a package that should only be built and installed on Linux, but doesn't build successfully on macOS or Windows. While uv can construct a perfectly valid lockfile for this scenario, doing so would require building the package, which would fail on non-Linux platforms.
The tool.uv.dependency-metadata
table can be used to provide static metadata for such dependencies
upfront, thereby allowing uv to skip the build step and use the provided metadata instead.
For example, to provide metadata for chumpy
upfront, include its dependency-metadata
in the
pyproject.toml
:
[[tool.uv.dependency-metadata]]
name = "chumpy"
version = "0.70"
requires-dist = ["numpy>=1.8.1", "scipy>=0.13.0", "six>=1.11.0"]
These declarations are intended for cases in which a package does not declare static metadata upfront, though they are also useful for packages that require disabling build isolation. In such cases, it may be easier to declare the package metadata upfront, rather than creating a custom build environment prior to resolving the package.
For example, you can declare the metadata for flash-attn
, allowing uv to resolve without building
the package from source (which itself requires installing torch
):
[project]
name = "project"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = ["flash-attn"]
[tool.uv.sources]
flash-attn = { git = "https://github.com/Dao-AILab/flash-attention", tag = "v2.6.3" }
[[tool.uv.dependency-metadata]]
name = "flash-attn"
version = "2.6.3"
requires-dist = ["torch", "einops"]
Like dependency overrides, tool.uv.dependency-metadata
can also be used for cases in which a
package's metadata is incorrect or incomplete, or when a package is not available in the package
index. While dependency overrides allow overriding the allowed versions of a package globally,
metadata overrides allow overriding the declared metadata of a specific package.
Note
The version
field in tool.uv.dependency-metadata
is optional for registry-based
dependencies (when omitted, uv will assume the metadata applies to all versions of the package),
but required for direct URL dependencies (like Git dependencies).
Entries in the tool.uv.dependency-metadata
table follow the
Metadata 2.3 specification,
though only name
, version
, requires-dist
, requires-python
, and provides-extra
are read by
uv. The version
field is also considered optional. If omitted, the metadata will be used for all
versions of the specified package.
Lower bounds
By default, uv add
adds lower bounds to dependencies and, when using uv to manage projects, uv
will warn if direct dependencies don't have lower bound.
Lower bounds are not critical in the "happy path", but they are important for cases where there are dependency conflicts. For example, consider a project that requires two packages and those packages have conflicting dependencies. The resolver needs to check all combinations of all versions within the constraints for the two packages — if all of them conflict, an error is reported because the dependencies are not satisfiable. If there are no lower bounds, the resolver can (and often will) backtrack down to the oldest version of a package. This isn't only problematic because it's slow, the old version of the package often fails to build, or the resolver can end up picking a version that's old enough that it doesn't depend on the conflicting package, but also doesn't work with your code.
Lower bounds are particularly critical when writing a library. It's important to declare the lowest
version for each dependency that your library works with, and to validate that the bounds are
correct — testing with --resolution lowest
or resolution lowest-direct
.
Otherwise, a user may receive an old, incompatible version of one of your library's dependencies and
the library will fail with an unexpected error.
Reproducible resolutions
uv supports an --exclude-newer
option to limit resolution to distributions published before a
specific date, allowing reproduction of installations regardless of new package releases. The date
may be specified as an RFC 3339 timestamp (e.g.,
2006-12-02T02:07:43Z
) or a local date in the same format (e.g., 2006-12-02
) in your system's
configured time zone.
Note the package index must support the upload-time
field as specified in
PEP 700
. If the field is not present for a given
distribution, the distribution will be treated as unavailable. PyPI provides upload-time
for all
packages.
To ensure reproducibility, messages for unsatisfiable resolutions will not mention that
distributions were excluded due to the --exclude-newer
flag — newer distributions will be treated
as if they do not exist.
Note
The --exclude-newer
option is only applied to packages that are read from a registry (as opposed to, e.g., Git
dependencies). Further, when using the uv pip
interface, uv will not downgrade previously installed packages
unless the --reinstall
flag is provided, in which case uv will perform a new resolution.
Source distribution
PEP 625 specifies that packages must distribute source
distributions as gzip tarball (.tar.gz
) archives. Prior to this specification, other archive
formats, which need to be supported for backward compatibility, were also allowed. uv supports
reading and extracting archives in the following formats:
- gzip tarball (
.tar.gz
,.tgz
) - bzip2 tarball (
.tar.bz2
,.tbz
) - xz tarball (
.tar.xz
,.txz
) - zstd tarball (
.tar.zst
) - lzip tarball (
.tar.lz
) - lzma tarball (
.tar.lzma
) - zip (
.zip
)
Learn more
For more details about the internals of the resolver, see the resolver reference documentation.
Lockfile versioning
The uv.lock
file uses a versioned schema. The schema version is included in the version
field of
the lockfile.
Any given version of uv can read and write lockfiles with the same schema version, but will reject
lockfiles with a greater schema version. For example, if your uv version supports schema v1,
uv lock
will error if it encounters an existing lockfile with schema v2.
uv versions that support schema v2 may be able to read lockfiles with schema v1 if the schema update was backwards-compatible. However, this is not guaranteed, and uv may exit with an error if it encounters a lockfile with an outdated schema version.
The schema version is considered part of the public API, and so is only bumped in minor releases, as a breaking change (see Versioning). As such, all uv patch versions within a given minor uv release are guaranteed to have full lockfile compatibility. In other words, lockfiles may only be rejected across minor releases.