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trackers

Python library of multi-object tracking algorithms for any detector

  • AI models and runtimes
  • Developer tools
View on GitHub
Website

What it is

A Python library that rebuilds six trackers from scratch, namely ByteTrack, SORT, McByte, OC-SORT, C-BIoU and BoT-SORT, all called through one shared update interface. It takes bounding boxes from any detection model via supervision Detections and assigns stable track IDs across video frames. A CLI runs detection and tracking on videos, webcams or RTSP streams, computes HOTA, CLEAR and identity metrics, and tunes hyperparameters with Optuna. Computer vision engineers and researchers add it to detection pipelines to follow objects through occlusion and camera motion.

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Facts

Stars
3,958 GitHub stars.
3,958

Forks
422
Commits
765
Contributors
25
Language
Python
License
Apache-2.0
Last commit
Oct 15, 2026
On GitHub since
April 2025
First release
January 2026
Platforms
CLI, library
Self-hostable
No
Tags
  • object-detection
  • machine-learning
  • computer-vision

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 20, 2026
  • Bluesky“trackers v2.0.0 is out combo object detectors from top model libraries with multi-object tracker of your choice for now we support SORT and DeepSORT; more…”Apr 25, 2025 · 4 likes · 1 reply (opens Bluesky in a new tab)
  • Hacker NewsNew AI tracking algorithms packageJan 29, 2026 · 2 points · 0 comments (opens Hacker News in a new tab)
  • Bluesky“Trackers Plug-and-play multi-object tracking for any detection model.”Mar 5, 2026 · 1 like · 0 replies (opens Bluesky in a new tab)