diff --git a/doc/devel/development_setup.rst b/doc/devel/development_setup.rst
index 2ee9193c9fa5..7b8b692327f2 100644
--- a/doc/devel/development_setup.rst
+++ b/doc/devel/development_setup.rst
@@ -141,6 +141,7 @@ setup.
.. _venv: https://docs.python.org/3/library/venv.html
.. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
+.. _uv: https://docs.astral.sh/uv/
.. tab-set::
@@ -182,6 +183,59 @@ setup.
Remember to activate the environment whenever you start working on Matplotlib!
+ .. tab-item:: uv environment
+
+ `uv`_ is a fast drop-in replacement for ``pip`` and ``venv``. After
+ `installing uv `_,
+ create a new environment and install the Python dependencies with ::
+
+ uv venv
+ uv pip install --group dev
+
+ and activate it with one of the following :
+
+ .. tab-set::
+
+ .. tab-item:: Linux and macOS
+
+ .. code-block:: bash
+
+ source .venv/bin/activate
+
+ .. tab-item:: Windows cmd.exe
+
+ .. code-block:: bat
+
+ .venv\Scripts\activate.bat
+
+ .. tab-item:: Windows PowerShell
+
+ .. code-block:: ps1con
+
+ .venv\Scripts\Activate.ps1
+
+ Remember to activate the environment whenever you start working on Matplotlib!
+
+ .. note::
+
+ When using uv, prefix the remaining ``pip`` commands in this guide with
+ ``uv``. For example, the :ref:`editable install `
+ below becomes ::
+
+ uv pip install --verbose --no-build-isolation --group dev --editable .
+
+ You can also manage the environment from a lockfile with ``uv sync``.
+ Because Matplotlib has a compiled (meson-python) build, install the
+ dependencies and the editable build in separate steps ::
+
+ uv sync --group dev --no-install-project
+ uv pip install --no-build-isolation --no-deps --editable .
+
+ Then activate the environment as above. Avoid ``uv run``, because it
+ re-syncs the project and rebuilds the editable install with build
+ isolation, which is incompatible with the meson-python editable rebuild.
+ ``uv run --no-sync`` will work around this.
+
.. tab-item:: conda environment
Create a new `conda`_ environment and install the Python dependencies with ::