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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero05KApr 26Nov 4, 2026luigifreda/pyslamultralytics/ultralytics
Stars: The star count at the end of each dayStarsThe star count at the end of each day025K50KApr 26Nov 4, 2026luigifreda/pyslamultralytics/ultralytics

Facts

Factluigifreda/pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

ultralytics/ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Stars3,43563,127
Net stars, last 30 days+10+982
Largest star day+6 on Apr 27, 2026+68 on Aug 10, 2026
Milestone reached in the recordNoneNone
Forks55111,967
LanguagePythonPython
LicenseGPL-3.0AGPL-3.0
CreatedApr 6, 2019Sep 11, 2022
Last pushOct 25, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)2 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data939
Weeks with commits, last 52No data52 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: semantic-segmentation, instance-segmentation. 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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