dgx-spark-playbooks/nvidia/txt2kg/assets/deploy/services/gpu-viz/requirements.txt

graphistry>=0.32.0
pandas>=2.0.0
numpy>=1.24.0
fastapi>=0.104.0
uvicorn[standard]>=0.24.0
pydantic>=2.0.0
networkx>=3.0  # For efficient graph generation algorithms
# cudf, cuml, cugraph are already included in PyG container
# cupy>=12.0.0  # Already included in PyG container
igraph>=0.10.0  # For additional graph algorithms
scikit-learn>=1.3.0  # For additional ML features
requests>=2.31.0
aiofiles>=23.0.0
python-multipart>=0.0.6