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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.

Stars gained: From Oct 22, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 3, 2026, each from zero0100Oct 22Nov 3, 2026febeling/rb-libsvmkei500/liblinear-rubyliquidSVM/liquidSVMtensorflow/tensorflowalibaba/MNN
Stars: The star count at the end of each dayStarsThe star count at the end of each day0100K200KApr 26Nov 3, 2026febeling/rb-libsvmkei500/liblinear-rubyliquidSVM/liquidSVMtensorflow/tensorflowalibaba/MNN

Facts

Factfebeling/rb-libsvm

Ruby language bindings for LIBSVM

kei500/liblinear-rubyliquidSVM/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.

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

alibaba/MNN

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Stars2798271201,29016,347
Net stars, last 30 daysNot recordedNot recordedNot recorded+1,008+190
Largest star dayNot recordedNot recordedNot recorded+434 on Sep 3, 2026+43 on Jun 1, 2026
Milestone reached in the recordNoneNoneNoneNoneNone
Forks347978,1682,500
LanguageC++C++C++C++C++
LicenseBSD-3-CLAUSEMITAGPL-3.0APACHE-2.0APACHE-2.0
CreatedMar 15, 2009Nov 19, 2013Apr 22, 2017Nov 7, 2015Apr 15, 2019
Last pushDec 7, 2023Mar 29, 2019Feb 20, 2020Nov 4, 2026Nov 3, 2026
ArchivedNoNoNoNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)1 of 4 checks (2 without data)4 of 4 checks4 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)0 of 3 checks (2 without data)0 of 3 checks (1 without data)3 of 3 checks2 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)0 of 1 check (1 without data)1 of 1 check1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)1 of 3 checks (2 without data)3 of 3 checks2 of 3 checks
Commits, last 13 weeksNo dataNo dataNo data5,428218
Weeks with commits, last 52No dataNo dataNo data52 of 5250 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026Oct 22, 2026Oct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, ml. 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

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