Installation

GeoSC 0.3.0 supports Python 3.10 to 3.13. Use an isolated virtual environment.

Install a maintained build

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install /path/to/geosc-0.3.0-py3-none-any.whl
geosc --help

The build installs both geosc and the compatibility command geolift. It does not include the repository’s data-config/, recipes/, or shapemap/ directories. Supply your own input CSV and YAML files.

Install from a source checkout

git clone https://github.com/tandpds/GeoSC.git
cd GeoSC
python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
python -m pip install -e .
geosc --help

Source installation makes the shipped synthetic panel and stage configs available under data-config/.

Optional GPU dependency

CuPy is optional and is used only by parts of unseeded power-analysis DGP estimation or generation when the supported GPU path is available. Main SparseSC inference is CPU-based. A configured random_seed disables GPU DGP and generation paths to preserve reproducible draws. Install a CuPy build that matches the local CUDA runtime; for example:

python -m pip install cupy-cuda12x

GeoSC falls back to CPU when the requested GPU path is unavailable. Record the reported dgp_backend and generation_backend; do not infer GPU use from the configuration alone.