Compare repositories
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 | weijie-chen/Linear-Algebra-With-Python Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization. | CodeCutTech/Data-science Collection of useful data science topics along with articles, videos, and code |
|---|---|---|
| Stars | 2,577 | 4,214 |
| Net stars, last 30 days | +5 | +4 |
| Largest star day | +3 on Jul 22, 2026 | +3 on May 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 614 | 1,059 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | No license |
| Created | Jun 1, 2020 | Jul 17, 2020 |
| Last push | Sep 5, 2024 | Dec 2, 2025 |
| Archived | No | Yes |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 0 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) | 0 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 11, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: python, data-science, data-visualization, data-analysis. 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