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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/SFA3D Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation) | pathwaycom/pathway Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. |
|---|---|---|
| Stars | 1,131 | 62,021 |
| Net stars, last 30 days | +1 | -16 |
| Largest star day | +2 on Jun 8, 2026 | +29 on Jul 25, 2026 |
| Milestone reached in the record | None | None |
| Forks | 278 | 1,708 |
| Language | Python | Python |
| License | MIT | Other license |
| Created | Aug 24, 2020 | Nov 27, 2022 |
| Last push | Sep 17, 2023 | Nov 3, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 3 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 166 |
| Weeks with commits, last 52 | No data | 52 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: real-time. 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