Hugging Face Transformers VS scikit-learn
As of 4 November 2026, scikit-learn is named by 1,639 companies and Hugging Face Transformers by 616; Hugging Face Transformers skews to companies under 200 people (43% vs 45%), scikit-learn to companies over 1,000 (30% vs 32%).
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: Hugging Face Transformers's script and mail records show on hundreds of thousands of small sites, scikit-learn rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Hugging Face Transformers: 2–200 employees
- 43%
- scikit-learn: 2–200 employees
- 45%
- Hugging Face Transformers: 1,000+ employees
- 32%
- scikit-learn: 1,000+ employees
- 30%
- Postings per company, 90 days
- 2.1 · 2.3
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Hugging Face Transformers | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 34 | 6% | 94 | 6% | even |
| 2-10 employees | 67 | 11% | 239 | 15% | scikit-learn |
| 11-50 employees | 93 | 15% | 243 | 15% | even |
| 51-200 employees | 102 | 17% | 263 | 16% | even |
| 201-500 employees | 65 | 11% | 186 | 11% | even |
| 501-1000 employees | 59 | 10% | 121 | 7% | Hugging Face Transformers |
| 1001-5000 employees | 85 | 14% | 207 | 13% | even |
| 5001-10000 employees | 27 | 4% | 66 | 4% | even |
| 10,001+ employees | 84 | 14% | 220 | 13% | even |
| Segment | Hugging Face Transformers | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 349 | 57% | 815 | 50% | Hugging Face Transformers |
| Business & finance services | 108 | 18% | 332 | 20% | scikit-learn |
| Manufacturing & industry | 50 | 8% | 153 | 9% | even |
| Public, community & associations | 27 | 4% | 49 | 3% | even |
| Media & content | 25 | 4% | 57 | 3% | even |
| Consumer services & leisure | 21 | 3% | 65 | 4% | even |
| Automotive | 11 | 2% | 21 | 1% | even |
| Utilities & infrastructure | 8 | 1% | 44 | 3% | even |
| Commerce & trade | 7 | 1% | 46 | 3% | even |
| Transport, logistics & rental | 6 | 1% | 14 | 1% | even |
| Health care | 3 | 0% | 18 | 1% | even |
| Property & construction | 1 | 0% | 16 | 1% | even |
| Segment | Hugging Face Transformers | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| United States | 380 | 62% | 891 | 54% | Hugging Face Transformers |
| India | 34 | 6% | 105 | 6% | even |
| United Kingdom | 32 | 5% | 90 | 5% | even |
| Germany | 28 | 5% | 60 | 4% | even |
| France | 16 | 3% | 63 | 4% | even |
| Singapore | 11 | 2% | 19 | 1% | even |
| Canada | 10 | 2% | 44 | 3% | even |
| Spain | 8 | 1% | 28 | 2% | even |
| Italy | 7 | 1% | – | – | outside top 12 |
| Portugal | 5 | 1% | – | – | outside top 12 |
| Belgium | 4 | 1% | – | – | outside top 12 |
| Brazil | 4 | 1% | 29 | 2% | even |
| Australia | – | – | 24 | 1% | outside top 12 |
| Netherlands | – | – | 20 | 1% | outside top 12 |
| Sweden | – | – | 20 | 1% | outside top 12 |
| Segment | Hugging Face Transformers | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,293 | 75% | 3,852 | 76% | even |
| Software engineering | 121 | 7% | 334 | 7% | even |
| IT operations & business systems | 32 | 2% | 92 | 2% | even |
| Research and science | 20 | 1% | 37 | 1% | even |
| Engineering (non-software) | 18 | 1% | 75 | 1% | even |
| Sales | 18 | 1% | 25 | 0% | even |
| Legal, compliance & risk | 10 | 1% | 19 | 0% | even |
| Marketing & communications | 6 | 0% | 12 | 0% | even |
| General management & consulting | 5 | 0% | 38 | 1% | even |
| Product, program & project management | 5 | 0% | 37 | 1% | even |
| Education & training | 4 | 0% | 18 | 0% | even |
| Finance & accounting | 4 | 0% | 45 | 1% | even |
| Design & UX | 3 | 0% | 4 | 0% | even |
| Unclassified | 3 | 0% | 34 | 1% | even |
| Arts media and entertainment | 2 | 0% | 1 | 0% | even |
| Administration & office | 1 | 0% | 3 | 0% | even |
| Construction and civil | 1 | 0% | 3 | 0% | even |
| Quality, safety & environment | 1 | 0% | 4 | 0% | even |
| Logistics warehouse and transport | – | – | 7 | 0% | outside top 12 |
| Human resources | – | – | 5 | 0% | outside top 12 |
| Healthcare clinical | – | – | 4 | 0% | outside top 12 |
| Customer service & success | – | – | 3 | 0% | outside top 12 |
| Business development & strategy | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Hugging Face Transformers →
Companies using scikit-learn →
ml frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
scikit-learn is named by 1,639 companies in job postings and Hugging Face Transformers by 616; 187 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/hugging-face-transformers-vs-scikit-learn)
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.
Hugging Face Transformers vs scikit-learn: questions
Which is more used, Hugging Face Transformers or scikit-learn?
By companies naming it in their own job postings, scikit-learn (1,639) over Hugging Face Transformers (616). By website-and-DNS footprint, scikit-learn (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Hugging Face Transformers?
43% of Hugging Face Transformers companies have 2 to 200 employees, against 45% for scikit-learn. 32% of Hugging Face Transformers companies have over 1,000 employees, against 30% for scikit-learn.
Do companies run both?
187 companies name both in their postings, usually Hugging Face Transformers in marketing and scikit-learn 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.
Get either list your way
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