Creating projects
uv supports creating a project with uv init
.
When creating projects, uv supports two basic templates: applications and
libraries. By default, uv will create a project for an application. The --lib
flag can be used to create a project for a library instead.
Target directory
uv will create a project in the working directory, or, in a target directory by providing a name,
e.g., uv init foo
. If there's already a project in the target directory, i.e., if there's a
pyproject.toml
, uv will exit with an error.
Applications
Application projects are suitable for web servers, scripts, and command-line interfaces.
Applications are the default target for uv init
, but can also be specified with the --app
flag.
The project includes a pyproject.toml
, a sample file (hello.py
), a readme, and a Python version
pin file (.python-version
).
The pyproject.toml
includes basic metadata. It does not include a build system, it is not a
package and will not be installed into the environment:
[project]
name = "example-app"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = []
The sample file defines a main
function with some standard boilerplate:
Python files can be executed with uv run
:
Packaged applications
Many use-cases require a package. For example, if you are creating a command-line interface that will be published to PyPI or if you want to define tests in a dedicated directory.
The --package
flag can be used to create a packaged application:
The source code is moved into a src
directory with a module directory and an __init__.py
file:
$ tree example-pkg
example-pkg
├── .python-version
├── README.md
├── pyproject.toml
└── src
└── example_packaged_app
└── __init__.py
A build system is defined, so the project will be installed into the environment:
[project]
name = "example-pkg"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = []
[project.scripts]
example-pkg = "example_packaged_app:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
Tip
The --build-backend
option can be used to request an alternative build system.
A command definition is included:
[project]
name = "example-pkg"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = []
[project.scripts]
example-pkg = "example_packaged_app:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
The command can be executed with uv run
:
Libraries
A library provides functions and objects for other projects to consume. Libraries are intended to be built and distributed, e.g., by uploading them to PyPI.
Libraries can be created by using the --lib
flag:
Note
Using --lib
implies --package
. Libraries always require a packaged project.
As with a packaged application, a src
layout is used. A py.typed
marker is included to indicate to consumers that types can be read from the library:
$ tree example-lib
example-lib
├── .python-version
├── README.md
├── pyproject.toml
└── src
└── example_lib
├── py.typed
└── __init__.py
Note
A src
layout is particularly valuable when developing libraries. It ensures that the library is
isolated from any python
invocations in the project root and that distributed library code is
well separated from the rest of the project source.
A build system is defined, so the project will be installed into the environment:
[project]
name = "example-lib"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = []
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
Tip
You can select a different build backend template by using --build-backend
with hatchling
,
flit-core
, pdm-backend
, setuptools
, maturin
, or scikit-build-core
. An alternative
backend is required if you want to create a library with extension modules.
The created module defines a simple API function:
And you can import and execute it using uv run
:
$ uv run --directory example-lib python -c "import example_lib; print(example_lib.hello())"
Hello from example-lib!
Projects with extension modules
Most Python projects are "pure Python", meaning they do not define modules in other languages like C, C++, FORTRAN, or Rust. However, projects with extension modules are often used for performance sensitive code.
Creating a project with an extension module requires choosing an alternative build system. uv supports creating projects with the following build systems that support building extension modules:
maturin
for projects with Rustscikit-build-core
for projects with C, C++, FORTRAN, Cython
Specify the build system with the --build-backend
flag:
Note
Using --build-backend
implies --package
.
The project contains a Cargo.toml
and a lib.rs
file in addition to the typical Python project
files:
$ tree example-ext
example-ext
├── .python-version
├── Cargo.toml
├── README.md
├── pyproject.toml
└── src
├── lib.rs
└── example_ext
├── __init__.py
└── _core.pyi
Note
If using scikit-build-core
, you'll see CMake configuration and a main.cpp
file instead.
The Rust library defines a simple function:
use pyo3::prelude::*;
#[pyfunction]
fn hello_from_bin() -> String {
"Hello from example-ext!".to_string()
}
#[pymodule]
fn _core(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_function(wrap_pyfunction!(hello_from_bin, m)?)?;
Ok(())
}
And the Python module imports it:
from example_ext._core import hello_from_bin
def main() -> None:
print(hello_from_bin())
The command can be executed with uv run
:
Important
Changes to the extension code in lib.rs
or main.cpp
will require running --reinstall
to
rebuild them.