This repository provides gCastle, a comprehensive causal learning toolchain implementing various causal discovery algorithms including gradient-based methods, CausalVAE, and graph autoencoders. It includes utilities for independence testing, synthetic and real-world dataset generation, and benchmarking tools used in NeurIPS and other competitions. The library supports structure learning evaluation and research in causal inference methods.