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roboflow/trackers

Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use. observed · 2026-08-28

github.com/roboflow/trackers · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

85/100

  • Activity 99
  • Release rhythm 96
  • Longevity 36
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 26.5
  • age_days: 506
  • days_rel: 27
  • days_push: 7
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

3717 stars · 400 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python library of clean-room, Apache 2.0 implementations of multi-object tracking algorithms including SORT, ByteTrack, OC-SORT, BoT-SORT, C-BIoU, and McByte. It is detector-agnostic, works natively with supervision.Detections, and includes Optuna-based hyperparameter tuning.

Use cases

  • track objects across video frames with any detection model
  • compare multi-object tracking algorithms like ByteTrack and BoT-SORT
  • keep stable track IDs when the camera is moving
  • tune tracker hyperparameters for my scene and detector
  • add object tracking to a YOLO or DETR pipeline without glue code
  • benchmark trackers on MOT17 or SportsMOT

When to choose

  • you need permissively licensed (Apache 2.0) tracking code for closed-source products
  • you already use the supervision ecosystem or any bounding-box detector
  • you want readable, modifiable implementations rather than vendored wrappers
  • you need camera motion compensation for moving cameras

When to avoid

  • you need full perception pipelines including detection models - this only tracks given detections
  • you require AGPL-licensed ecosystem features from alternatives like BoxMOT
  • you need tracking in a non-Python language

Facets

library · maturity active

computer-vision machine-learning benchmarking computer-vision machine-learning python cross-platform multi-object-tracking sort bytetrack oc-sort bot-sort object-detection supervision optuna video

2 sources

Member repositories

RepositoryRoleHealth v2
roboflow/trackersmain85

For agents

markdown · JSON · MCP: product_card(name="roboflow/trackers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem