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scikit-learn vs pull-requests

scikit-learn and pull-requests are both developer tools skills. scikit-learn scores higher (89 vs 89 out of 100). scikit-learn has more GitHub stars (48k), and pull-requests was updated more recently (today). The table compares them side by side.

scikit-learnpull-requests
Score89 / 10089 / 100
What it doesMachine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.Pull request finalization. Use when a change works and is about to be opened as a pull request, or when updating or continuing an existing one.
PublisherCommunity: sickn33Community: Effect-TS
GradesMaintenance A, Licence A, Quality AMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars48,36417,362
Last commit23 Oct 202623 Oct 2026
LicenceMITMIT
Listed since22 Oct 202623 Oct 2026
Install scikit-learnInstall pull-requests

Questions

Is scikit-learn or pull-requests more popular?

scikit-learn has more GitHub stars: 48,364.

Can I use scikit-learn and pull-requests together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.