roboflow/supervision
We write your reusable computer vision tools. 💜
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 229 contributors on GitHub.
Peaked at #5 in the weekly ranking the week of Jun 28, its best in the past year.
Use Cases & Benefits
- Provides reusable Python tools for computer vision tasks including dataset handling, annotation, detection visualization, and metrics calculation.
- Offers model-agnostic connectors and utilities that simplify integrating various detection and segmentation models into workflows.
- Use for building and visualizing object detection pipelines with popular models like YOLO and Ultralytics in Python.
- Use for managing and converting datasets between formats such as COCO, Pascal VOC, and YOLO for training and evaluation.
- Use for implementing real-time video processing applications including object tracking, speed estimation, and zone-based analytics.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us! 🤝
Pip install the supervision package in a Python>=3.9 environment.
Read more about conda, mamba, and installing from source in our guide.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+2,007 stars over 80 days across 14 snapshot days; best day +292 on Sep 17.
Forks
4.9K+239
Open issues
77+3
Compared with peers in Computer Vision
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| roboflow/supervision | 51.5K | — | 45 | today |
| blakeblackshear/frigate | 37.3K | — | 59 | 24 days ago |
| HenryNdubuaku/maths-cs-ai-compendium | 7.7K | — | 10 | — |
| mindee/doctr | 6.4K | — | 61 | 79 days ago |
| aurelio-labs/semantic-router | 4.0K | — | 59 | 11 days ago |
| Category median | 7.7K | — | 59 | — |
Also by roboflow
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RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
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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.
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