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 | rguo12/awesome-causality-algorithms An index of algorithms for learning causality with data | py-why/dowhy DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. |
|---|---|---|
| Stars | 3,302 | 8,400 |
| Net stars, last 30 days | +11 | +50 |
| Largest star day | +2 on Sep 16, 2026 | +6 on Oct 10, 2026 |
| Milestone reached in the record | None | None |
| Forks | 477 | 1,068 |
| Language | Not reported | Python |
| License | MIT | MIT |
| Created | Sep 19, 2018 | May 31, 2018 |
| Last push | Oct 28, 2026 | Nov 12, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 2 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 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 | Nov 11, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: causality, causal-inference. 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