How do their growth rates compare?

Ultralytics has a month-over-month growth rate of +8.7%; Underpin has —.

How does pricing compare?

Ultralytics: Freemium. Freemium. The YOLO models and tooling are available open source under AGPL-3.0 at no cost; the Ultralytics Platform offers free and paid cloud tiers, and commercial use inside closed-source products requires a paid enterprise license with custom support terms. Underpin: Freemium. Free to install from the Chrome Web Store, with the developer offering it on a freemium basis for extended use.

What are alternatives to Ultralytics and Underpin?

Other tools in related categories include Workable, Roboflow, Labelbox, Kula AI, Encord.

Ultralytics vs Underpin — Traffic (793.42K vs 0), Pricing & Verdict

Open AI Tools

Ultralytics vs Underpin — Traffic (793.42K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Ultralytics	Underpin
Official Domain	ultralytics.com	chromewebstore.google.com
Pricing Model	Freemium	Freemium
Monthly Visits	793.42K (793,423)	0 (0)
MoM Traffic Delta	+63.49K (+8.7%)	0 (—)
Primary Market & Share	🇨🇳 China (15.2%)	🌐 Global (—)
Direct Visits / mo	239.75K	0
User Rating	4.6	4.2
Supported Platforms	Website	Browser Extension

Ultralytics

Real-time vision AI models and a full platform to train, annotate, and deploy them

YOLO real-time vision models

One model family covering detection, instance segmentation, pose estimation, oriented boxes, classification, and tracking, tuned for real-time inference on GPU, CPU, and edge devices.

Ultralytics Platform for the full lifecycle

Label data with SAM-assisted annotation, train on cloud GPUs with AutoTrain, and deploy to managed regions that scale to zero when idle.

Broad export and runtime support

Ship trained models to ONNX, TensorRT, CoreML, TFLite, and many other formats for cloud servers, mobile devices, and embedded hardware.

Dual licensing for open and commercial use

Adopt the open-source AGPL-3.0 release, or purchase an enterprise license to embed YOLO in closed-source products without copyleft obligations.

Strengths & Pros

+Mature, heavily documented model family with millions of daily inference usages and a large open-source community
+Covers the whole lifecycle — annotation, training, deployment — so teams avoid stitching together separate vendors
+Wide export format support makes it practical to target cloud, mobile, and embedded hardware from one codebase