# abewley/sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

Repository: https://github.com/abewley/sort
Canonical: https://ross.abutalabs.com/products/sort
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2023-11-28T07:01:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3864, "days_push": 1009, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4373, forks 1128 (observed 2026-08-28T04:08:46.839005+00:00)

## What it is
SORT is a barebones Python implementation of a simple online and realtime multiple object tracking algorithm for 2D video sequences, based on Kalman filtering and data association. It serves as a baseline and testbed for developing future trackers and was the top open-source tracker on the MOT benchmark at publication.

## Use cases
- track multiple objects in a video in realtime
- assign consistent identities to detections across frames
- baseline multiple object tracker for research
- run tracking on MOT benchmark sequences
- online tracking using only past and current frames

## When to choose
- you need a fast, simple, realtime online tracker as a baseline
- you want a lightweight Kalman-filter-based tracker to extend or compare against
- you're working with MOT benchmark data and provided detections

## When to avoid
- you need occlusion handling or re-identification of lost objects (use Deep SORT instead)
- you need a production-grade tracker with permissive licensing (it's GPL-3.0)
- you need built-in object detection (it relies on external detectors)

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning
- domain: computer-vision, machine-learning
- platform: python, cross-platform
- tags: multiple-object-tracking, kalman-filter, hungarian-algorithm, realtime-tracking, mot-benchmark, research-code, video

## Member repositories
- abewley/sort (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.839005+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:20.906656+00:00, confidence not recorded.
  - readme: https://github.com/abewley/sort (fetched 2026-08-28T04:08:46.839005+00:00, sha 6f0aae1dcd4a)
- Data as of 2026-08-30T08:39:29.467469+00:00.