# Ultralytics — developer ecosystem report

> Democratizing Vision AI

- GitHub org: `ultralytics`
- Category: other
- Overall score: 64.0 / 100
- Overall rank: #41
- Last refreshed: 2026-09-10

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 68.0 | #133 | ~22% |
| Education | 86.0 | #14 | ~18% |
| AI readiness | 39.0 | #347 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 63.0 | #36 | ~16% |
| Reach | 61.0 | #132 | ~18% |
| Momentum | 76.0 | #44 | ~14% |

## Links

- GitHub: https://github.com/ultralytics
- Website: https://ultralytics.com
- Docs: https://docs.ultralytics.com/

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 137,866 |
| Forks | 33,796 |
| Open issues | 195 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [ultralytics](https://github.com/ultralytics/ultralytics) | 61,455 | Python | Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classificatio |
| [yolov5](https://github.com/ultralytics/yolov5) | 57,953 | Python | Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export. |
| [yolov3](https://github.com/ultralytics/yolov3) | 10,601 | Python | PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation,  |
| [JSON2YOLO](https://github.com/ultralytics/JSON2YOLO) | 1,231 | Python | Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by con |
| [assets](https://github.com/ultralytics/assets) | 660 | — | Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets. |
| [yolo-ios-app](https://github.com/ultralytics/yolo-ios-app) | 509 | Swift | Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks. |
| [yolo-flutter-app](https://github.com/ultralytics/yolo-flutter-app) | 492 | Dart | Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks. |
| [google-images-download](https://github.com/ultralytics/google-images-download) | 378 | Python | Bing image scraper with HTML and Selenium search, format filters, CLI and Python APIs, and dataset downloads. |
| [xview-yolov3](https://github.com/ultralytics/xview-yolov3) | 341 | Python | YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView  |
| [flickr_scraper](https://github.com/ultralytics/flickr_scraper) | 294 | Python | Python Flickr image scraper for building keyword-based computer vision datasets with pagination and deduplication. |
| [hub](https://github.com/ultralytics/hub) | 242 | — | Historical Ultralytics HUB repository — HUB shut down on July 31, 2026 and was replaced by Ultralytics Platform. |
| [notebooks](https://github.com/ultralytics/notebooks) | 235 | Jupyter Notebook | Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks. |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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