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Facts
| Fact | JSBSim-Team/jsbsim An open source flight dynamics & control software library | 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 | 2,348 | 71 |
| Net stars, last 30 days | +54 | Not recorded |
| Largest star day | +6 on May 17, 2026 | Not recorded |
| Milestone reached in the record | None | None |
| Forks | 631 | 9 |
| Language | C++ | C++ |
| License | LGPL-2.1 | AGPL-3.0 |
| Created | Dec 17, 2017 | Apr 22, 2017 |
| Last push | Nov 13, 2026 | Feb 20, 2020 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks (1 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 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: matlab, python. 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