TLlib provides standardized APIs for implementing and comparing transfer learning algorithms across domain alignment, domain translation, self-training, and regularization methods. The library supports tasks including classification, object detection, segmentation, and keypoint detection, organized by learning setups for domain adaptation, task adaptation, out-of-distribution generalization, and semi-supervised learning.