Hugging Face Transformers VS PyTorch FSDP
As of 30 October 2026, PyTorch FSDP is named by 114 companies and Hugging Face Transformers by 449; Hugging Face Transformers skews to companies under 200 people (45% vs 59%), PyTorch FSDP to companies over 1,000 (18% vs 31%).
As of 30 October 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 FSDP 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
- 45%
- PyTorch FSDP: 2–200 employees
- 59%
- Hugging Face Transformers: 1,000+ employees
- 31%
- PyTorch FSDP: 1,000+ employees
- 18%
- Postings per company, 90 days
- 2.2 · 2.0
- 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 | PyTorch FSDP | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 16 | 4% | 8 | 7% | PyTorch FSDP |
| 2-10 employees | 42 | 9% | 30 | 26% | PyTorch FSDP |
| 11-50 employees | 76 | 17% | 17 | 15% | Hugging Face Transformers |
| 51-200 employees | 86 | 19% | 20 | 18% | even |
| 201-500 employees | 49 | 11% | 13 | 11% | even |
| 501-1000 employees | 42 | 9% | 6 | 5% | Hugging Face Transformers |
| 1001-5000 employees | 66 | 15% | 9 | 8% | Hugging Face Transformers |
| 5001-10000 employees | 18 | 4% | 5 | 4% | even |
| 10,001+ employees | 54 | 12% | 6 | 5% | Hugging Face Transformers |
| Segment | Hugging Face Transformers | share | PyTorch FSDP | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 268 | 60% | 70 | 61% | even |
| Business & finance services | 74 | 16% | 10 | 9% | Hugging Face Transformers |
| Manufacturing & industry | 33 | 7% | 9 | 8% | even |
| Public, community & associations | 22 | 5% | 10 | 9% | PyTorch FSDP |
| Media & content | 20 | 4% | 4 | 4% | even |
| Consumer services & leisure | 13 | 3% | 2 | 2% | even |
| Utilities & infrastructure | 8 | 2% | 1 | 1% | even |
| Commerce & trade | 5 | 1% | – | – | outside top 12 |
| Automotive | 4 | 1% | 3 | 3% | even |
| Health care | 1 | 0% | – | – | outside top 12 |
| Transport, logistics & rental | 1 | 0% | 4 | 4% | PyTorch FSDP |
| Property & construction | – | – | 1 | 1% | outside top 12 |
| Segment | Hugging Face Transformers | share | PyTorch FSDP | share | Leans |
|---|---|---|---|---|---|
| United States | 288 | 64% | 86 | 75% | PyTorch FSDP |
| India | 28 | 6% | 6 | 5% | even |
| Germany | 24 | 5% | 1 | 1% | Hugging Face Transformers |
| United Kingdom | 22 | 5% | 5 | 4% | even |
| France | 10 | 2% | – | – | outside top 12 |
| Canada | 9 | 2% | 5 | 4% | PyTorch FSDP |
| Singapore | 9 | 2% | – | – | outside top 12 |
| Spain | 7 | 2% | – | – | outside top 12 |
| Italy | 6 | 1% | – | – | outside top 12 |
| Romania | 4 | 1% | – | – | outside top 12 |
| United Arab Emirates | 3 | 1% | 1 | 1% | even |
| Belgium | 3 | 1% | – | – | outside top 12 |
| Switzerland | – | – | 2 | 2% | outside top 12 |
| TH | – | – | 2 | 2% | outside top 12 |
| Greece | – | – | 1 | 1% | outside top 12 |
| South Korea | – | – | 1 | 1% | outside top 12 |
| Mexico | – | – | 1 | 1% | outside top 12 |
| Netherlands | – | – | 1 | 1% | outside top 12 |
| Segment | Hugging Face Transformers | share | PyTorch FSDP | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,104 | 77% | 264 | 79% | PyTorch FSDP |
| Software engineering | 101 | 7% | 19 | 6% | even |
| IT operations & business systems | 23 | 2% | 9 | 3% | even |
| Research and science | 19 | 1% | 8 | 2% | even |
| Engineering (non-software) | 15 | 1% | – | – | outside top 12 |
| Legal, compliance & risk | 9 | 1% | – | – | outside top 12 |
| Sales | 9 | 1% | 2 | 1% | even |
| Marketing & communications | 5 | 0% | – | – | outside top 12 |
| Product, program & project management | 5 | 0% | – | – | outside top 12 |
| Finance & accounting | 4 | 0% | – | – | outside top 12 |
| General management & consulting | 4 | 0% | 1 | 0% | even |
| Design & UX | 3 | 0% | – | – | outside top 12 |
The companies behind each column
Companies using Hugging Face Transformers →
Companies using PyTorch FSDP →
ml frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
PyTorch FSDP is named by 114 companies in job postings and Hugging Face Transformers by 449; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/hugging-face-transformers-vs-pytorch-fsdp)
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 PyTorch FSDP: questions
Which is more used, Hugging Face Transformers or PyTorch FSDP?
By companies naming it in their own job postings, Hugging Face Transformers (449) over PyTorch FSDP (114). By website-and-DNS footprint, PyTorch FSDP (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Hugging Face Transformers?
45% of Hugging Face Transformers companies have 2 to 200 employees, against 59% for PyTorch FSDP. 31% of Hugging Face Transformers companies have over 1,000 employees, against 18% for PyTorch FSDP.
Do companies run both?
0 companies name both in their postings, usually Hugging Face Transformers in marketing and PyTorch FSDP 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.
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