Installation

Quick install

scVIVA-Tools requires Python ≥ 3.12. Install into a fresh virtual environment:

pip install scviva-tools

Optional extras

Extra	Command	Installs
Spatial backends	pip install "scviva-tools[spatial]"	squidpy, spatialdata
GPU acceleration	pip install "scviva-tools[rapids]"	cuML, cuPy, cuGraph
Tutorials	pip install "scviva-tools[tutorials]"	jupyter, matplotlib, seaborn
All	pip install "scviva-tools[all]"	everything above

Development install

git clone https://github.com/YosefLab/scviva-tools.git
cd scviva-tools
pip install -e ".[dev,test]"
pre-commit install

Verifying the installation

import scviva
print(scviva.__version__)

GPU support

RAPIDS-based acceleration (neighbor computation and latent representation) requires a CUDA-capable GPU and the rapids extra. The base package runs on CPU without any GPU dependencies.