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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0500Apr 26Nov 3, 2026luigifreda/pyslamnerfstudio-project/nerfstudio
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 3, 2026luigifreda/pyslamnerfstudio-project/nerfstudio

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.

nerfstudio-project/nerfstudio

A collaboration friendly studio for NeRFs

Stars3,43512,144
Net stars, last 30 days+10+111
Largest star day+6 on Apr 27, 2026+10 on Aug 27, 2026
Milestone reached in the recordNoneNone
Forks5511,689
LanguagePythonPython
LicenseGPL-3.0APACHE-2.0
CreatedApr 6, 2019May 31, 2022
Last pushOct 25, 2026Jul 29, 2025
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)1 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeksNo data0
Weeks with commits, last 52No data0 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: 3d-reconstruction, 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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