Compare · ml frameworks

scikit-learn VS TensorFlow_

As of 4 November 2026, TensorFlow is named by 4,387 companies and scikit-learn by 1,639; scikit-learn skews to companies under 200 people (45% vs 51%), TensorFlow to companies over 1,000 (26% vs 30%).

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

The website-and-DNS footprint is not comparable between a marketing suite and a CRM: scikit-learn's script and mail records show on hundreds of thousands of small sites, TensorFlow rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

scikit-learn: 2–200 employees
45%
TensorFlow: 2–200 employees
51%
scikit-learn: 1,000+ employees
30%
TensorFlow: 1,000+ employees
26%
Postings per company, 90 days
2.3 · 2.7
Website or DNS footprint
0 · 0
1,639companies name scikit-learn
4,387companies name TensorFlow
1,606name both
3,810 · 12,007postings in 90 days, scikit-learn · TensorFlow
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
Segmentscikit-learnshareTensorFlowshareLeans
Self-employed946%2055%even
2-10 employees23915%62814%even
11-50 employees24315%83519%TensorFlow
51-200 employees26316%79618%TensorFlow
201-500 employees18611%46411%even
501-1000 employees1217%3328%even
1001-5000 employees20713%50311%even
5001-10000 employees664%1594%even
10,001+ employees22013%46511%scikit-learn
By industry
Segmentscikit-learnshareTensorFlowshareLeans
Technology & software81550%2,22051%even
Business & finance services33220%74817%scikit-learn
Manufacturing & industry1539%53612%TensorFlow
Consumer services & leisure654%1694%even
Media & content573%1674%even
Public, community & associations493%1533%even
Commerce & trade463%882%even
Utilities & infrastructure443%842%even
Automotive211%561%even
Health care181%581%even
Property & construction161%411%even
Transport, logistics & rental141%411%even
By country
Segmentscikit-learnshareTensorFlowshareLeans
United States89154%2,55658%TensorFlow
India1056%2255%even
United Kingdom905%2566%even
France634%1193%even
Germany604%1964%even
Canada443%1133%even
Brazil292%––outside top 12
Spain282%561%even
Australia241%511%even
Netherlands201%551%even
Sweden201%501%even
Singapore191%441%even
Italy––441%outside top 12
Postings by team (share of each tool's postings)
Segmentscikit-learnshareTensorFlowshareLeans
Data & AI3,85276%11,54570%scikit-learn
Software engineering3347%1,61110%TensorFlow
IT operations & business systems922%2842%even
Engineering (non-software)751%3712%even
Finance & accounting451%530%even
General management & consulting381%961%even
Product, program & project management371%991%even
research and science371%2371%even
Unclassified341%1191%even
Sales250%1401%even
Legal, compliance & risk190%390%even
Education & training180%510%even
Marketing & communications120%150%even
logistics warehouse and transport70%100%even
Human resources50%90%even
Design & UX40%300%even
healthcare clinical40%60%even
Quality, safety & environment40%110%even
Administration & office30%60%even
construction and civil30%20%even
Customer service & success30%250%even
arts media and entertainment10%80%even
Business development & strategy10%120%even
skilled trades and field service––40%outside top 12
agriculture and environment––30%outside top 12
hospitality and food service––20%outside top 12
manufacturing and production––20%outside top 12
real estate and property––20%outside top 12
facilities cleaning and security––10%outside top 12
public safety and protective services––10%outside top 12
Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

TensorFlow is named by 4,387 companies in job postings and scikit-learn by 1,639; 1,606 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/scikit-learn-vs-tensorflow)
How we know

Read from the source, not self-reported

Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →

  • Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
  • Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
  • SegmentsCountry, size and industry from the company profile built from its website.
  • Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
FAQ

scikit-learn vs TensorFlow: questions

Which is more used, scikit-learn or TensorFlow?

By companies naming it in their own job postings, TensorFlow (4,387) over scikit-learn (1,639). By website-and-DNS footprint, TensorFlow (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses scikit-learn?

45% of scikit-learn companies have 2 to 200 employees, against 51% for TensorFlow. 30% of scikit-learn companies have over 1,000 employees, against 26% for TensorFlow.

Do companies run both?

1,606 companies name both in their postings, usually scikit-learn in marketing and TensorFlow in sales, or during a migration.

Where do these numbers come from?

From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.

Companies and people

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