BoxMOT provides a unified Python API and CLI for running modern multi-object tracking workflows. It combines object detection (YOLO), re-identification embedding models, and tracking algorithms like BoT-SORT, OC-SORT, StrongSORT, and ByteTrack. The library supports both axis-aligned and oriented bounding box tracking, and includes utilities for benchmark evaluation, ReID training, and TensorRT acceleration.