RLLoggingBoard is a tool focused on visualizing the reinforcement learning human feedback (RLHF) training process. It aids researchers and developers in intuitively understanding the training procedure through fine-grained metric monitoring, quickly identifying issues, and optimizing training outcomes. The tool supports various visualization modules, including reward curves, response rankings, and token-level metrics, aiming to augment existing training frameworks and enhance efficiency and effectiveness. It is compatible with any training framework that supports saving the required metrics, boasting high flexibility and scalability.