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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | maudzung/Complex-YOLOv4-Pytorch The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds" | maudzung/SFA3D Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation) |
|---|---|---|
| Stars | 1,333 | 1,130 |
| Net stars, last 30 days | +1 | 0 |
| Largest star day | +2 on Sep 22, 2026 | +2 on Jun 8, 2026 |
| Milestone reached in the record | None | None |
| Forks | 267 | 278 |
| Language | Python | Python |
| License | GPL-3.0 | MIT |
| Created | Jul 3, 2020 | Aug 24, 2020 |
| Last push | Aug 30, 2024 | Sep 17, 2023 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 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 data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 13, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: real-time, lidar-point-cloud, 3d-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