Compare · ml frameworks

Hugging Face Transformers VS PyTorch_

As of 4 November 2026, PyTorch is named by 5,581 companies and Hugging Face Transformers by 616; Hugging Face Transformers skews to companies under 200 people (43% vs 54%), PyTorch to companies over 1,000 (23% 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, PyTorch 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%
PyTorch: 2–200 employees
54%
Hugging Face Transformers: 1,000+ employees
32%
PyTorch: 1,000+ employees
23%
Postings per company, 90 days
2.1 · 3.1
Website or DNS footprint
0 · 0
616companies name Hugging Face Transformers
5,581companies name PyTorch
703name both
1,263 · 17,504postings in 90 days, Hugging Face Transformers · PyTorch
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
SegmentHugging Face TransformerssharePyTorchshareLeans
Self-employed346%3316%even
2-10 employees6711%91916%PyTorch
11-50 employees9315%1,08319%PyTorch
51-200 employees10217%1,01518%even
201-500 employees6511%55210%even
501-1000 employees5910%3867%Hugging Face Transformers
1001-5000 employees8514%60911%Hugging Face Transformers
5001-10000 employees274%1783%even
10,001+ employees8414%5089%Hugging Face Transformers
By industry
SegmentHugging Face TransformerssharePyTorchshareLeans
Technology & software34957%2,91252%Hugging Face Transformers
Business & finance services10818%85615%Hugging Face Transformers
Manufacturing & industry508%71413%PyTorch
Public, community & associations274%2464%even
Media & content254%2014%even
Consumer services & leisure213%1974%even
Automotive112%611%even
Utilities & infrastructure81%952%even
Commerce & trade71%1002%even
Transport, logistics & rental61%461%even
Health care30%711%even
Property & construction10%471%even
By country
SegmentHugging Face TransformerssharePyTorchshareLeans
United States38062%3,34360%even
India346%2525%even
United Kingdom325%3446%even
Germany285%2755%even
France163%1382%even
Singapore112%511%even
Canada102%1252%even
Spain81%671%even
Italy71%––outside top 12
Portugal51%––outside top 12
Belgium41%––outside top 12
Brazil41%––outside top 12
Australia––701%outside top 12
Netherlands––661%outside top 12
Switzerland––591%outside top 12
Sweden––571%outside top 12
Postings by team (share of each tool's postings)
SegmentHugging Face TransformerssharePyTorchshareLeans
Data & AI1,29375%16,24369%Hugging Face Transformers
Software engineering1217%2,28410%PyTorch
IT operations & business systems322%4042%even
research and science201%4782%even
Engineering (non-software)181%5162%even
Sales181%2131%even
Legal, compliance & risk101%260%even
Marketing & communications60%410%even
General management & consulting50%960%even
Product, program & project management50%1641%even
Education & training40%550%even
Finance & accounting40%690%even
Design & UX30%350%even
Unclassified30%1441%even
arts media and entertainment20%100%even
Administration & office10%70%even
construction and civil10%10%even
Quality, safety & environment10%110%even
Customer service & success––360%outside top 12
Business development & strategy––270%outside top 12
Human resources––260%outside top 12
skilled trades and field service––110%outside top 12
logistics warehouse and transport––70%outside top 12
agriculture and environment––50%outside top 12
healthcare clinical––50%outside top 12
manufacturing and production––40%outside top 12
hospitality and food service––20%outside top 12
real estate and property––20%outside top 12
facilities cleaning and security––10%outside top 12
procurement and purchasing––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.

PyTorch is named by 5,581 companies in job postings and Hugging Face Transformers by 616; 703 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/hugging-face-transformers-vs-pytorch)
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

Hugging Face Transformers vs PyTorch: questions

Which is more used, Hugging Face Transformers or PyTorch?

By companies naming it in their own job postings, PyTorch (5,581) over Hugging Face Transformers (616). By website-and-DNS footprint, PyTorch (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 54% for PyTorch. 32% of Hugging Face Transformers companies have over 1,000 employees, against 23% for PyTorch.

Do companies run both?

703 companies name both in their postings, usually Hugging Face Transformers in marketing and PyTorch 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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