This library offers easy-to-use implementations of contextual bandit methods adapted from multi-armed bandit strategies. It is built with Cython for performance and aims to help researchers prototype ideas and reproduce published algorithms. The package focuses on the exploration-exploitation trade-off central to reinforcement learning and sequential decision problems.