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Stars gained: From Oct 23, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Oct 23, 2026 to Nov 3, 2026, each from zero00.51Oct 23Nov 3, 2026giuse/machine_learning_workbenchgiuse/data_modeler
Stars: The star count at the end of each dayStarsThe star count at the end of each day01020Oct 23Nov 3, 2026giuse/machine_learning_workbenchgiuse/data_modeler

Facts

Factgiuse/machine_learning_workbench

Workbench for practical machine learning in Ruby.

giuse/data_modeler

Model your data with machine learning

Stars201
Net stars, last 30 daysNot recordedNot recorded
Largest star dayNot recordedNot recorded
Milestone reached in the recordNoneNone
Forks51
LanguageRubyRuby
LicenseMITMIT
CreatedMar 5, 2018May 10, 2017
Last pushNov 2, 2021Jun 28, 2017
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (2 without data)0 of 3 checks (3 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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