# scikit-learn: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 7 judge labels across 1 categories by 5 of 12 models. Page: https://it-ai-index.com/vendors/scikit-learn/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| ML platforms | 2% | 14 | 0% | 7 |

## What the models said for it

- "open-source tools like TensorFlow or Scikit-learn" (Claude Haiku 4.5, ML platforms)
- "Start with Scikit-learn if you're new to ML and working on traditional ML problems" (Kimi K2, ML platforms)
- "Best if your team can code, because these are free open-source libraries" (Perplexity Sonar, ML platforms)
- "scikit-learn \u2013 Traditional ML algorithms, simple API" (GLM 4.7 FlashX, ML platforms)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.