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Stars gained: From May 12, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 11, 2026, each from zero05001KMay 12Nov 11, 2026fundamentalvision/BEVFormerultralytics/yolov5
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K50KApr 26Nov 11, 2026fundamentalvision/BEVFormerultralytics/yolov5

Facts

Fact fundamentalvision/BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

ultralytics/yolov5

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Stars 4,64858,260
Net stars, last 30 days +27+142
Largest star day +5 on May 29, 2026+22 on Oct 23, 2026
Milestone reached in the record NoneNone
Forks 75417,436
Language PythonPython
License APACHE-2.0AGPL-3.0
Created Mar 30, 2022May 18, 2020
Last push Aug 15, 2024Nov 7, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)0 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No data26
Weeks with commits, last 52 No data34 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, computer-vision, object-detection. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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