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Stars gained: From May 8, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 11, 2026, each from zero05001KMay 8Nov 11, 2026nerfstudio-project/gsplatluigifreda/pyslam
Stars: The star count at the end of each dayStarsThe star count at the end of each day4K6KApr 26Nov 11, 2026nerfstudio-project/gsplatluigifreda/pyslam

Facts

Fact nerfstudio-project/gsplat

CUDA accelerated rasterization of gaussian splatting

luigifreda/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.

Stars 5,8923,437
Net stars, last 30 days +121+9
Largest star day +15 on Jul 7, 2026+6 on Apr 27, 2026
Milestone reached in the record 5,000 on May 14, 2026None
Forks 1,012551
Language PythonPython
License APACHE-2.0GPL-3.0
Created Aug 25, 2023Apr 6, 2019
Last push Sep 19, 2026Oct 25, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: gaussian-splatting. 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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