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python-fastapi-programmer:git-worktree-parallel vs scikit-learn

python-fastapi-programmer:git-worktree-parallel and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 21 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (yesterday). The table compares them side by side.

python-fastapi-programmer:git-worktree-parallelscikit-learn
Score21 / 10089 / 100
What it doesGit Worktree patterns for parallel domain development with isolated workspaces. Use when implementing multiple domains in parallel using Topological Sort, team-based execution, and worktree-based code isolation to prevent conflicts.Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
PublisherCommunity: ureca-corpCommunity: sickn33
GradesMaintenance C, Licence A, Quality CMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars048,364
Last commit24 Jul 202623 Oct 2026
LicenceMITMIT
Listed since19 Oct 202622 Oct 2026
Install python-fastapi-programmer:git-worktree-parallelInstall scikit-learn

Questions

Is python-fastapi-programmer:git-worktree-parallel or scikit-learn more popular?

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

Can I use python-fastapi-programmer:git-worktree-parallel and scikit-learn together?

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