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

Gane Index, November 2026 Edition. Named in 4 judge labels across 1 category by 4 of 14 models. Page: https://www.gane.ai/index/it/vendors/scikit-learn

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [ML platforms](https://www.gane.ai/index/it/it-data/ml-platforms/index.md) | 2% | 15 | 25% | 4 |

## What the models said for it

- "Start with Python + scikit-learn/XGBoost, use CPU instances for conventional models" (Perplexity Sonar, ML platforms)
- "For simple classification or regression, scikit-learn is sufficient and free" (Claude Haiku 4.5, ML platforms)
- "Frameworks: PyTorch, Scikit-Learn, or Hugging Face" (Gemini 3.5 Flash, ML platforms)

## And against it

- "Open-source frameworks like TensorFlow, PyTorch, and scikit-learn cost nothing to license... but it breaks down the moment you need organization-wide adoption or regulatory auditability." (Muse Glimmer 30B, ML platforms)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 1 | 0 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named scikit-learn, from 6 of the 16 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 4
- cake.ai: 3
- spotsaas.com: 3
- computer.org: 2
- guideflow.com: 2
- learn.g2.com: 2
- prompts.ai: 2
- rankite.com: 2
- spaceotechnologies.com: 2
- techvendorindex.com: 2

### Pages cited

- https://spotsaas.com/list/data-science-and-machine-learning-platforms/for-small-business: 3
- https://spotsaas.com/list/machine-learning-software/for-small-business: 3
- https://cake.ai/blog/machine-learning-platforms: 2
- https://computer.org/csdl/magazine/so/2026/02/11433203/2eNCkfwn16w: 2
- https://g2.com/categories/machine-learning/small-business: 2
- https://guideflow.com/blog/machine-learning-software: 2
- https://learn.g2.com/best-data-science-ml-platforms: 2
- https://learn.g2.com/best-machine-learning-tools: 2

## In its own words

What scikit-learn's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: Machine Learning in Python (https://scikit-learn.org/)
- For: everybody (https://scikit-learn.org/)
- Free plan or trial: Open source, commercially usable - BSD license (https://scikit-learn.org/)

## What it publishes

Every page scikit-learn.org exposes, read 2026-09-29: 88 addresses. By kind, pages and the last 90 days:

- blog: 44 pages, 12 in the last 90 days, latest 2026-08-31
- conference or event: 16 pages, 0 in the last 90 days, latest undated
- news or press: 2 pages, 0 in the last 90 days, latest 2025-08-16
- Recent: 2026-08-31 blog: 2017 https://blog.scikit-learn.org/year/2017
- Recent: 2026-08-31 blog: 2018 https://blog.scikit-learn.org/year/2018
- Recent: 2026-08-31 blog: 2019 https://blog.scikit-learn.org/year/2019
- Recent: 2026-08-31 blog: 2020 https://blog.scikit-learn.org/year/2020
- Recent: 2026-08-31 blog: 2021 https://blog.scikit-learn.org/year/2021
- Recent: 2026-08-31 blog: 2022 https://blog.scikit-learn.org/year/2022

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.