WiTwin Core is the shared data and geometry package of the WiTwin stack. It defines the geometry and material contracts consumed by solver packages without imposing a common solver-specific scene lifecycle.
CPython 3.10-3.14, PyTorch 2.10 or newer, and an NVIDIA GPU are supported for the main WiTwin simulation workflows.
pip install witwinRelease wheels are built for Linux x86_64 and Windows x86_64 with CUDA 12.8. Each platform wheel carries one PyTorch Stable ABI native library built against PyTorch 2.10 and reused across supported Python and PyTorch versions; CI currently verifies PyTorch 2.10-2.12. The fat binaries contain native code for compute capabilities 7.0, 7.5, 8.0, 8.6, 8.9, 9.0, 10.0, 10.1, and 12.0, plus compute 12.0 PTX for forward-compatible Blackwell execution. This includes native coverage for RTX 2080-class Turing GPUs and current data-center and RTX/RTX PRO Blackwell families.
Linux wheels target manylinux_2_35_x86_64. The installed NVIDIA driver must support the CUDA 12.x runtime supplied by PyTorch; the CUDA toolkit is only needed for source/JIT builds.
For full CUDA 12.8 and Blackwell support, use at least driver 570.26 on Linux or 570.65 on Windows. Pre-Blackwell systems can use NVIDIA's CUDA 12.x minor-version compatibility floor (525.60.13 on Linux or 528.33 on Windows), subject to NVIDIA's compatibility-mode feature limits.
- Runtime-checkable
GeometrySpecandMaterialSpeccontracts - Shared analytic geometry primitives and differentiable mesh/SDF utilities
- Reusable
MaterialandStructurevalues for solver-owned scenes
Each solver owns its public Scene implementation. Radar-specific SMPL geometry lives in witwin.radar.geometry; Maxwell-specific PolySlab geometry lives in witwin.maxwell.geometry.
