ultralytics

Ultralytics YOLO is an open source tool for engineering teams tackling computer vision tasks such as object detection and image classification. It provides a production-ready solution for ML/AI teams looking to implement deep learning models efficiently. With a healthy growth trend of 9.8% in stars over the past 96 days, it demonstrates strong community adoption and ongoing support. However, it may not be the right choice for teams requiring highly customisable frameworks or those working with less common use cases in machine learning. Overall, its maturity level makes it suitable for a wide range of applications in production environments.

This is a strong choice for teams needing a reliable, efficient solution for real-time object detection and image analysis tasks. Consider alternatives if your project requires extensive customisation or if you are working with niche ML applications not well-supported by this framework.

Data scientists and ML engineers are the primary users of Ultralytics YOLO, integrating it into products that require advanced image processing capabilities. Common applications include surveillance systems, autonomous vehicles, and any product that leverages visual data for decision-making.

Latest commit: 2026-02-13. Over the past 97 days, this repository gained 4.8k stars (+9.8% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.