Object Tracking Python Packages

ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

ultralytics-opencv-headless

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

btrack

Bayesian multi-object tracking

similari-trackers-rs

A framework for building high-performance real-time multiple object trackers

motrackers

Multi-object trackers in Python

rpx-benchmark

RPX: Same Scene, Different Story. A real-world benchmark and toolkit for evaluating robot perception before, during and after manipulation: 100 scenes, 70 objects, six tasks.

geo-trax

🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.

motpy

Library for tracking-by-detection multi object tracking implemented in python

videoflow

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

similari-tracker-rs-py313

A framework for building high-performance real-time multiple object trackers

wapr

[ECCV 2026] Wide-angle pose refinement for unseen objects from RGB-D, camera intrinsics, a metric mesh, and a mask or box.

sportvision

Real-time sports analytics toolkit built on the Roboflow ecosystem. Detects players and ball via RF-DETR, tracks with ByteTrack, classifies teams by jersey color, and computes possession, speed, distance, and heatmaps.

peekingduck

A modular framework built to simplify Computer Vision inference workloads.

multisensor-lmb-filters-rs

50-1000x Faster multi-sensor labelled Bernoulli filters in Rust and Python via Py03 - A (mostly automated) port of https://github.com/scjrobertson/multisensor-lmb-filters

norfair-enough

Lightweight Python library for adding real-time multi-object tracking to any detector. Maintained fork of tryolabs/norfair.

visionstyle

Configurable bounding boxes, labels and tracking trails for object detection. 22 presets, a live Studio editor and a CLI.

norfair-rs

Drop-in Rust/Python replacement for norfair — Add real-time multi-object tracking to any detector — A (mostly automated) rust port of norfair https://github.com/tryolabs/norfair

bytetracker

Packaged version of the ByteTrack repository

ultralytics-dev

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

trio-retina

Model-agnostic state layer for world models — turn any detector (YOLO · VLM · DINO) into one standard, queryable stream of events + latent state. numpy-only, runs on CPU at the edge.

yeastvision

Deep-learning enabled quantitative image analysis of cell full lifecycles

trajectory-forecast

Forecast where tracked objects will move next. A lightweight extension to Ultralytics YOLO that adds Kalman-filtered trajectory prediction; stable, low-jitter, and efficient for real-time systems.