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Facts
| Fact | 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. | gradslam/gradslam gradslam is an open source differentiable dense SLAM library for PyTorch |
|---|---|---|
| Stars | 3,435 | 1,425 |
| Net stars, last 30 days | +10 | 0 |
| Largest star day | +6 on Apr 27, 2026 | +1 on May 12, 2026 |
| Milestone reached in the record | None | None |
| Forks | 551 | 167 |
| Language | Python | Python |
| License | GPL-3.0 | MIT |
| Created | Apr 6, 2019 | Nov 6, 2020 |
| Last push | Oct 25, 2026 | Sep 2, 2023 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 1 of 3 checks (1 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 data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: 3d-reconstruction, slam. 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