A PEP503 compliant index for installation of geospatial wheels on Windows, using Christoph Gohlke's wheel builds at https://github.com/cgohlke/geospatial-wheels. Consider a self-hosted fork of this repo (see the Security section below).

To install gdal with both Windows and Linux support, add the following configuration to pyproject.toml:

[tool.uv.sources]
gdal = [
  { index = "gdal-wheels", marker = "sys_platform == 'linux'" },
  { index = "geospatial-wheels", marker = "sys_platform == 'win32'" },
]

[[tool.uv.index]]
name = "geospatial-wheels"
url = "https://nathanjmcdougall.github.io/geospatial-wheels-index/"
explicit = true

[[tool.uv.index]]
name = "gdal-wheels"
url = "https://gitlab.com/api/v4/projects/61637378/packages/pypi/simple"
explicit = true

Then to install, you run:

uv add gdal

Linux support is provided by a separate project's index. See the Acknowledgements section below.

You can also use a simple pip command to install packages on Windows, e.g. for gdal you would run:

pip install gdal --index-url https://nathanjmcdougall.github.io/geospatial-wheels-index/

To install pygeos for example, add the following configuration to pyproject.toml:

[tool.uv.sources]
pygeos = [
  { index = "geospatial-wheels", marker = "sys_platform == 'win32'" },
]

[[tool.uv.index]]
name = "geospatial-wheels"
url = "https://nathanjmcdougall.github.io/geospatial-wheels-index/"
explicit = true

Then to install, you run:

uv add pygeos

You should only download wheel files from a trusted source. That includes this index - it is recommended that you consider self-hosting a fork of this repo. However, you would still need to trust the wheels at https://github.com/cgohlke/geospatial-wheels (as you would any publisher of wheels, even on PyPI).

This index is totally dependent on the work of Christoph Gohlke to tirelessly build and host wheels for the Python geospatial stack on Windows, at https://github.com/cgohlke/geospatial-wheels.

The work of Petr Tsymbarovich is also acknowledged for similarly dedicated work at building and hosting wheels for GDAL on Linux on a PEP503 index, to enable cross-platform installation of gdal with uv. This index is based at https://gitlab.com/mentaljam/gdal-wheels.

Using this index together with indexes for other platforms would not be possible without the work of Astral, with uv's powerful index support.