A comprehensive Python library providing structured, hierarchical exception classes for data science, data engineering, and ML pipeline workflows. Features 40+ specialized exceptions, logging helpers, and production-ready error handling for robust data processing systems.
One library, four surfaces. Production-grade Kolmogorov-Arnold Networks || TensorFlow + PyTorch + ONNX. || A small KAN beats a 10× larger MLP on smooth, separable target. One library. Two backends. Real ONNX export. Docker + Kubernetes ready.
