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BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
| Date | Stars |
|---|---|
| 2026-07-24 | 8249 |
| 2026-07-25 | 8249 |
| 2026-07-28 | 8253 |
| 2026-07-30 | 8258 |
| 2026-08-06 | 8261 |
Today
+3 stars today
This week
+3 stars this week
This month
— stars this month
Momentum
50.0
growth rate 0.04%/day
<div align="center" markdown="1">
<img width="400"
src="docs/logo/logo.png"
alt="BoxMOT logo">
<p><b>Pluggable Python and C++ multi-object tracking modules for axis-aligned and oriented bounding box detections from any model.</b></p>
[](https://github.com/mikel-brostrom/boxmot/actions/workflows/ci.yml)
[](https://badge.fury.io/py/boxmot)
[](https://pepy.tech/project/boxmot)
[](https://github.com/mikel-brostrom/boxmot/blob/master/LICENSE)
[](https://badge.fury.io/py/boxmot)
[](https://hub.docker.com/r/boxmot/boxmot)
[](https://doi.org/10.5281/zenodo.8132989)
[](https://colab.research.google.com/drive/18nIqkBr68TkK8dHdarxTco6svHUJGggY?usp=sharing)
[](https://discord.gg/tUmFEcYU4q)
[](https://deepwiki.com/mikel-brostrom/boxmot)
<a href="https://trendshift.io/repositories/13239" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13239" alt="mikel-brostrom%2Fboxmot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"></a>
---
[Docs](docs/index.md) • [Installation](docs/getting-started/installation.md) • [Modes](docs/modes/index.md) • [API Reference](docs/python/index.md) • [Trackers](docs/trackers/index.md) • [Contributing](CONTRIBUTING.md)
<img width="640"
src="https://github.com/mikel-brostrom/boxmot/releases/download/v12.0.0/output_640.gif"
alt="BoxMOT demo">
</div>
BoxMOT gives you one CLI and one Python API for running modern multi-object tracking workflows. It covers direct tracking, cached benchmark evaluation, tuning, research loops, ReID training and evaluation, and ReID export without forcing you to rebuild the detector and tracker stack for each experiment.
## Why BoxMOT
- One interface for `track`, `generate`, `eval`, `tune`, `research`, `train`, `eval-reid`, and `export`.
- Swappable trackers with shared detector and ReID plumbing.
- Benchmark-oriented workflows with reusable detections and embeddings.
- Support for both AABB and OBB tracking paths.
- Optional production-ready native C++ tracker implementations with the same metrics as the Python path, opted into via `--tracker-backend cpp` and embeddable in standalone C++ projects via CMake (see [Native C++ Integration](docs/guides/native-cpp.md)).
- Public Python API for embedding the same workflows in applications and notebooks.
## Installation
BoxMOT supports Python `3.10` through `3.13`.
```bash
pip install boxmot
boxmot --help
```
For mode-specific extras such as `yolo`, `evolve`, `research`, `onnx`, `openvino`, and `tflite`, see the [installation guide](docs/getting-started/installation.md).
## Benchmark Results
<div align="center" markdown="1">
<!-- START TRACKER TABLE -->
<table>
<thead>
<tr>
<th rowspan="2" align="left"><sub>Tracker</sub></th>
<th rowspan="2" align="center"><sub>Status</sub></th>
<th colspan="3" align="center"><sub>MOT17 ablation</sub></th>
<th colspan="3" align="center"><sub>SportsMOT val</sub></th>
<th colspan="3" align="center"><sub>MMOT OBB test</sub></th>
<th rowspan="2" align="center"><sub>OBB</sub></th>
</tr>
<tr>
<th align="right"><sub>HOTA</sub></th>
<th align="right"><sub>MOTA</sub></th>
<th align="right"><sub>IDF1</sub></th>
<th align="right"><sub>HOTA</sub></th>
<tExcerpt of 11,948 characters
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Armin Mehri · Computer Vision Center · Spain
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:622c06d26289e856, topic:yolo, desc:object tracking, readme:object tracking
matched fp:622c06d26289e856, topic:tensorrt
matched fp:622c06d26289e856, topic:deep-learning