Ultralytics YOLO
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking observed · 2026-10-18
Health v2 · maintenance only
96/100
- Activity 100
- Release rhythm 88
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 1
- age_days: 1500
- days_rel: 3
- days_push: 3
- n_releases_24m: 414
Adoption not part of the score
62597 stars · 11870 forks observed · 2026-10-18
What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99
Ultralytics provides a Python library implementing the YOLO family of models for object detection, segmentation, classification, pose estimation, and tracking. It offers ready‑to‑use pipelines, pretrained weights, and utilities for training and inference.
Use cases
- detect objects in images or video streams
- perform instance or semantic segmentation on visual data
- classify images into predefined categories
- estimate human poses for activity analysis
- track multiple objects across video frames
When to choose
- You need a high‑performance, state‑of‑the‑art computer‑vision model with easy Python integration
- You want pretrained YOLO models and simple APIs for rapid prototyping
- Your project relies on PyTorch and you prefer a well‑maintained, actively supported library
When to avoid
- You require a non‑Python environment or language bindings not provided
- Your use case demands strict GPL licensing (the library is AGPL‑3.0)
- You need built‑in support for non‑vision tasks such as NLP or tabular data
Facets
library · maturity active
computer-vision image-processing artificial-intelligence deep-learning computer-vision python windows cross-platform yolo ultralytics pytorch instance-segmentation pose-estimation tracking linux macos
1 source
- readme: https://github.com/ultralytics/ultralytics · fetched 2026-10-18 · f715848861d5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ultralytics/ultralytics | main | 96 |
| ultralytics/assets | infra | 71 |
| ultralytics/ultralytics-ios-podspecs | sdk | 64 |
For agents
markdown · JSON · MCP: product_card(name="ultralytics/ultralytics")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem