The library provides carefully selected data structures and algorithms for 3D data processing, including point cloud processing, mesh handling, surface reconstruction, and registration. The backend is optimized for parallelization and GPU acceleration via CUDA. It offers integration with major ML frameworks including PyTorch and TensorFlow, with a separate Open3D-ML project for ML-specific 3D perception tasks.