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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 | lightgbm-org/LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. | liquidSVM/liquidSVM Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression. |
|---|---|---|
| Stars | 18,950 | 71 |
| Net stars, last 30 days | +128 | Not recorded |
| Largest star day | +13 on Jul 19, 2026 | Not recorded |
| Milestone reached in the record | None | None |
| Forks | 4,100 | 9 |
| Language | C++ | C++ |
| License | MIT | AGPL-3.0 |
| Created | Aug 5, 2016 | Apr 22, 2017 |
| Last push | Nov 2, 2026 | Feb 20, 2020 |
| Archived | No | No |
| Health facts: Maintenance | 4 of 4 checks | 1 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks | 0 of 3 checks (1 without data) |
| Health facts: Security practice | 1 of 1 check | 0 of 1 check (1 without data) |
| Health facts: Community files | 3 of 3 checks | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | 54 | No data |
| Weeks with commits, last 52 | 49 of 52 | No data |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, python, r. 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