# Projects Python projects help manage Python applications spanning multiple files. !!! tip Looking for an introduction to creating a project with uv? See the [projects guide](../guides/projects.md) first. ## Project metadata Python project metadata is defined in a `pyproject.toml` file. `uv init` can be used to create a new project, with a basic `pyproject.toml` and package definition. A minimal project definition includes a name, version, and description: ```toml title="pyproject.toml" [project] name = "example" version = "0.1.0" description = "Add your description here" ``` Additionally, it's recommended to include a Python version requirement: ```toml title="pyproject.toml" [project] requires-python = ">=3.12" ``` This Python version requirement determines what syntax is valid in the project and affects the versions of dependencies which can be used (they must support the same Python range). The `pyproject.toml` also lists dependencies of the project. uv supports modifying the standard dependency list from the command line with `uv add` and `uv remove`. uv also supports [extended package sources](./dependencies.md) for advanced users. !!! tip See the official [`pyproject.toml` guide](https://packaging.python.org/en/latest/guides/writing-pyproject-toml/) for more details on getting started with a `pyproject.toml`. ## Project environments uv creates a virtual environment in a `.venv` directory next to the `pyproject.toml`. This virtual environment contains the project and its dependencies. It is stored inside the project to make it easy for editors to find — they need the environment to give code completions and type hints. It is not recommended to include the `.venv` directory in version control; it is automatically excluded from `git` with an internal `.gitignore` file. To run a command in the project environment, use `uv run`. Alternatively the project environment can be activated as normal for a virtual environment. When `uv run` is invoked, it will create the project environment if it does not exist yet or ensure it is up-to-date if it exists. The project environment can also be explicitly created with `uv sync`. It is _not_ recommended to modify the project environment manually, e.g., with `uv pip install`. For project dependencies, use `uv add` to add a package to the environment. For one-off requirements, use [`uvx`](../guides/tools.md) or [`uv run --with`](#running-commands-with-additional-dependencies). !!! tip If you don't want uv to manage the project environment, set [`managed = false`](../reference/settings.md#managed) to disable automatic locking and syncing of the project. For example: ```toml title="pyproject.toml" [tool.uv] managed = false ``` ## Lockfile uv creates a `uv.lock` file next to the `pyproject.toml`. `uv.lock` is a _universal_ or _cross-platform_ lockfile that captures the packages that would be installed across all possible Python markers such as operating system, architecture, and Python version. If your project supports a more limited set of platforms or Python versions, you can constrain the set of solved platforms via the `environments` setting, which accepts a list of PEP 508 environment markers. For example, to constrain the lockfile to macOS and Linux, and exclude Windows: ```toml title="pyproject.toml" [tool.uv] environments = [ "sys_platform == 'darwin'", "sys_platform == 'linux'", ] ``` Entries in the `environments` setting must be disjoint (i.e., they must not overlap). For example, `sys_platform == 'darwin'` and `sys_platform == 'linux'` are disjoint, but `sys_platform == 'darwin'` and `python_version >= '3.9'` are not, since both could be true at the same time. Unlike the `pyproject.toml`, which is used to specify the broad requirements of your project, the lockfile contains the exact resolved versions that are installed in the project environment. This file should be checked into version control, allowing for consistent and reproducible installations across machines. A lockfile ensures that developers working on the project are using a consistent set of package versions. Additionally, it ensures when deploying the project as an application that the exact set of used package versions is known. The lockfile is created and updated during uv invocations that use the project environment, i.e., `uv sync` and `uv run`. The lockfile may also be explicitly updated using `uv lock`. `uv.lock` is a human-readable TOML file but is managed by uv and should not be edited manually. There is no Python standard for lockfiles at this time, so the format of this file is specific to uv and not usable by other tools. To avoid updating the lockfile during `uv sync` and `uv run` invocations, use the `--frozen` flag. To assert the lockfile is up-to-date, use the `--locked` flag. If the lockfile is not up-to-date, an error will be raised instead of updating the lockfile. ## Managing dependencies uv is capable of adding, updating, and removing dependencies using the CLI. To add a dependency: ```console $ uv add httpx ``` uv supports adding [editable dependencies](./dependencies.md#editable-dependencies), [development dependencies](./dependencies.md#development-dependencies), [optional dependencies](./dependencies.md#optional-dependencies), and alternative [dependency sources](./dependencies.md#dependency-sources). See the [dependency specification](./dependencies.md) documentation for more details. uv will raise an error if the dependency cannot be resolved, e.g.: ```console $ uv add 'httpx>9999' error: Because only httpx<=9999 is available and example==0.1.0 depends on httpx>9999, we can conclude that example==0.1.0 cannot be used. And because only example==0.1.0 is available and you require example, we can conclude that the requirements are unsatisfiable. ``` To remove a dependency: ```console $ uv remove httpx ``` To update an existing dependency, e.g., to add a lower bound to the `httpx` version: ```console $ uv add 'httpx>0.1.0' ``` Or, to change the bounds for `httpx`: ```console $ uv add 'httpx<0.2.0' ``` To add a dependency source, e.g., to use `httpx` from GitHub during development: ```console $ uv add git+https://github.com/encode/httpx ``` ## Running commands When working on a project, it is installed into virtual environment at `.venv`. This environment is isolated from the current shell by default, so invocations that require the project, e.g., `python -c "import example"`, will fail. Instead, use `uv run` to run commands in the project environment: ```console $ uv run python -c "import example" ``` When using `run`, uv will ensure that the project environment is up-to-date before running the given command. The given command can be provided by the project environment or exist outside of it, e.g.: ```console $ # Presuming the project provides `example-cli` $ uv run example-cli foo $ # Running a `bash` script that requires the project to be available $ uv run bash scripts/foo.sh ``` ### Running commands with additional dependencies Additional dependencies or different versions of dependencies can be requested per invocation. The `--with` option is used to include a dependency for the invocation, e.g., to request a different version of `httpx`: ```console $ uv run --with httpx==0.26.0 python -c "import httpx; print(httpx.__version__)" 0.26.0 $ uv run --with httpx==0.25.0 python -c "import httpx; print(httpx.__version__)" 0.25.0 ``` The requested version will be respected regardless of the project's requirements. For example, even if the project requires `httpx==0.24.0`, the output above would be the same. ### Running scripts Scripts that declare inline metadata are automatically executed in environments isolated from the project. See the [scripts guide](../guides/scripts.md#declaring-script-dependencies) for more details. For example, given a script: ```python title="example.py" # /// script # dependencies = [ # "httpx", # ] # /// import httpx resp = httpx.get("https://peps.python.org/api/peps.json") data = resp.json() print([(k, v["title"]) for k, v in data.items()][:10]) ``` The invocation `uv run example.py` would run _isolated_ from the project with only the given dependencies listed. ## Projects with many packages If working in a project composed of many packages, see the [workspaces](./workspaces.md) documentation. ## Build isolation By default, uv builds all packages in isolated virtual environments, as per [PEP 517](https://peps.python.org/pep-0517/). Some packages are incompatible with build isolation, be it intentionally (e.g., due to the use of heavy build dependencies, mostly commonly PyTorch) or unintentionally (e.g., due to the use of legacy packaging setups). To disable build isolation for a specific dependency, add it to the `no-build-isolation-package` list in your `pyproject.toml`: ```toml title="pyproject.toml" [project] name = "project" version = "0.1.0" description = "..." readme = "README.md" requires-python = ">=3.12" dependencies = ["cchardet"] [tool.uv] no-build-isolation-package = ["cchardet"] ``` Installing packages without build isolation requires that the package's build dependencies are installed in the project environment _prior_ to installing the package itself. This can be achieved by separating out the build dependencies and the packages that require them into distinct optional groups. For example: ```toml title="pyproject.toml" [project] name = "project" version = "0.1.0" description = "..." readme = "README.md" requires-python = ">=3.12" dependencies = [] [project.optional-dependencies] build = ["setuptools", "cython"] compile = ["cchardet"] ``` Given the above, a user would first sync the `build` dependencies: ```console $ uv sync --extra build + cython==3.0.11 + foo==0.1.0 (from file:///Users/crmarsh/workspace/uv/foo) + setuptools==73.0.1 ``` Followed by the `compile` dependencies: ```console $ uv sync --extra compile + cchardet==2.1.7 - cython==3.0.11 - setuptools==73.0.1 ``` Note that `uv sync --extra compile` would, by default, uninstall the `cython` and `setuptools` packages. To instead retain the build dependencies, include both extras in the second `uv sync` invocation: ```console $ uv sync --extra build $ uv sync --extra build --extra compile ``` Some packages, like `cchardet`, only require build dependencies for the _installation_ phase of `uv sync`. Others, like `flash-atten`, require their build dependencies to be present even just to resolve the project's lockfile during the _resolution_ phase. In such cases, the build dependencies must be installed prior to running any `uv lock` or `uv sync` commands, using the lower lower-level `uv pip` API. For example, given: ```toml title="pyproject.toml" [project] name = "project" version = "0.1.0" description = "..." readme = "README.md" requires-python = ">=3.12" dependencies = ["flash-attn"] [tool.uv] no-build-isolation-package = ["flash-attn"] ``` You could run the following sequence of commands: ```console $ uv venv $ uv pip install torch $ uv sync ```