ai_rag_llamaindex vs scikit-learn
ai_rag_llamaindex and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 20 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (today). The table compares them side by side.
| ai_rag_llamaindex | scikit-learn | |
|---|---|---|
| Score | 20 / 100 | 89 / 100 |
| What it does | Build or debug document ingestion, indexing, retrieval, and synthesis pipelines inspired by LlamaIndex-style RAG systems. Use when the task involves loading files, building retrieval over them, and answering or acting with cited context. | Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines. |
| Publisher | Community: Wang200935 | Community: sickn33 |
| Grades | Maintenance C, Licence F, Quality C | Maintenance A, Licence A, Quality A |
| npm downloads a week | Not on npm | Not on npm |
| Runs | Skill | Skill |
| Works with | Claude Code, Claude apps | Claude Code, Claude apps |
| GitHub stars | 1 | 48,364 |
| Last commit | 18 May 2026 | 23 Oct 2026 |
| Licence | None found | MIT |
| Listed since | 19 Oct 2026 | 22 Oct 2026 |
| Install ai_rag_llamaindex | Install scikit-learn |
Questions
Is ai_rag_llamaindex or scikit-learn more popular?
scikit-learn has more GitHub stars: 48,364.
Can I use ai_rag_llamaindex 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.