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Index › IT › Products › scikit-learn · November 2026 Edition
ML platforms · Ranked

scikit-learn

scikit-learn is a machine learning library for Python · scikit-learn.org ↗

#9Best rank (small business)
8/14Models named it
3First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inML platforms #9 small business
What AI models recommend

Read the same way at every company size.

The standing depends on who is buying. Every model is asked the same questions for each company size.

Small business
Asked for a small B2B company
#9 of 148 named for small business
Share of first picks4%

Google Vertex AI is first at 20%.

Mid-market
Asked for a mid-market B2B company
Thin evidence 4 labels, under the 10-label minimum, so not ranked
Share of first picks2%

Databricks Mosaic AI is first at 24%.

Enterprise
Asked for an enterprise B2B company
Not named

No model named it for this buyer.

Why models recommend it

“Start with Python + scikit-learn/XGBoost, use CPU instances for conventional models”Perplexity Sonar · Budget-constrained question · first choice
“For simple classification or regression, scikit-learn is sufficient and free”Claude Haiku 4.5 · Budget-constrained question · alternative
“Frameworks: PyTorch, Scikit-Learn, or Hugging Face”Gemini 3.5 Flash · Budget-constrained question · alternative

What gives them pause

“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 · Scale-constrained question · warning

Also on the shortlist

The products named in the same answers as scikit-learn, over the 16 answers that named it, and how often each was the first choice instead.

ProductNamed togetherPicked instead
Azure Machine Learning
120View →
Amazon SageMaker
110View →
Google Vertex AI
90View →
PyTorch
81View →
Google Colab
72View →
TensorFlow
71View →
Hugging Face
62View →
DataRobot
60View →
MLflow
51View →
KNIME Analytics Platform
50View →

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on scikit-learn's own site, not checked by Gane.

For
everybody
Free plan or trial
Open source, commercially usable - BSD license
Visit scikit-learn.org ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named scikit-learn came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 6 of the 16 answers that named scikit-learn and are not a share of its labels.

Domains cited

g2.com4
cake.ai3
spotsaas.com3
computer.org2
guideflow.com2
learn.g2.com2
prompts.ai2
rankite.com2
spaceotechnologies.com2
techvendorindex.com2

Twenty-four of the twenty-four domain citations in answers naming scikit-learn came from a third party's page.

Pages cited

spotsaas.com/list/data-science-and-machine-learning-platforms/for-small-business3
spotsaas.com/list/machine-learning-software/for-small-business3
cake.ai/blog/machine-learning-platforms2
computer.org/csdl/magazine/so/2026/02/11433203/2eNCkfwn16w2
g2.com/categories/machine-learning/small-business2
guideflow.com/blog/machine-learning-software2
learn.g2.com/best-data-science-ml-platforms2
learn.g2.com/best-machine-learning-tools2

Pages are listed as the models cited them.

By model

How each model answered on scikit-learn across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar10001
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00011

What it publishes

Addresses on scikit-learn.org
88
subdomains included
Content
62
counted in the table below
Documentation
0
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog44122026-08-31
Conference or event16undated
News or press202025-08-16

Most recent

How it is countedHide how it is counted

Every page scikit-learn.org exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.