PyTorch FSDP VS scikit-learn
As of 30 October 2026, scikit-learn is named by 1,040 companies and PyTorch FSDP by 114; PyTorch FSDP skews to companies under 200 people (59% vs 49%), scikit-learn to companies over 1,000 (30% vs 18%).
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: PyTorch FSDP'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.
- PyTorch FSDP: 2–200 employees
- 59%
- scikit-learn: 2–200 employees
- 49%
- PyTorch FSDP: 1,000+ employees
- 18%
- scikit-learn: 1,000+ employees
- 30%
- Postings per company, 90 days
- 2.0 · 2.2
- 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 | PyTorch FSDP | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 8 | 7% | 19 | 2% | PyTorch FSDP |
| 2-10 employees | 30 | 26% | 140 | 13% | PyTorch FSDP |
| 11-50 employees | 17 | 15% | 182 | 18% | scikit-learn |
| 51-200 employees | 20 | 18% | 183 | 18% | even |
| 201-500 employees | 13 | 11% | 127 | 12% | even |
| 501-1000 employees | 6 | 5% | 79 | 8% | scikit-learn |
| 1001-5000 employees | 9 | 8% | 126 | 12% | scikit-learn |
| 5001-10000 employees | 5 | 4% | 42 | 4% | even |
| 10,001+ employees | 6 | 5% | 142 | 14% | scikit-learn |
| Segment | PyTorch FSDP | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 70 | 61% | 539 | 52% | PyTorch FSDP |
| Business & finance services | 10 | 9% | 195 | 19% | scikit-learn |
| Public, community & associations | 10 | 9% | 32 | 3% | PyTorch FSDP |
| Manufacturing & industry | 9 | 8% | 102 | 10% | even |
| Media & content | 4 | 4% | 35 | 3% | even |
| Transport, logistics & rental | 4 | 4% | 10 | 1% | PyTorch FSDP |
| Automotive | 3 | 3% | 14 | 1% | even |
| Consumer services & leisure | 2 | 2% | 35 | 3% | even |
| Property & construction | 1 | 1% | 10 | 1% | even |
| Utilities & infrastructure | 1 | 1% | 30 | 3% | scikit-learn |
| Commerce & trade | – | – | 28 | 3% | outside top 12 |
| Health care | – | – | 8 | 1% | outside top 12 |
| Segment | PyTorch FSDP | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| United States | 86 | 75% | 590 | 57% | PyTorch FSDP |
| India | 6 | 5% | 75 | 7% | even |
| Canada | 5 | 4% | 30 | 3% | even |
| United Kingdom | 5 | 4% | 66 | 6% | even |
| Switzerland | 2 | 2% | – | – | outside top 12 |
| TH | 2 | 2% | – | – | outside top 12 |
| United Arab Emirates | 1 | 1% | – | – | outside top 12 |
| Germany | 1 | 1% | 42 | 4% | scikit-learn |
| Greece | 1 | 1% | – | – | outside top 12 |
| South Korea | 1 | 1% | – | – | outside top 12 |
| Mexico | 1 | 1% | – | – | outside top 12 |
| Netherlands | 1 | 1% | 12 | 1% | even |
| France | – | – | 38 | 4% | outside top 12 |
| Spain | – | – | 15 | 1% | outside top 12 |
| Australia | – | – | 14 | 1% | outside top 12 |
| Brazil | – | – | 14 | 1% | outside top 12 |
| Singapore | – | – | 13 | 1% | outside top 12 |
| Sweden | – | – | 11 | 1% | outside top 12 |
| Segment | PyTorch FSDP | share | scikit-learn | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 264 | 79% | 2,602 | 77% | PyTorch FSDP |
| Software engineering | 19 | 6% | 220 | 7% | even |
| IT operations & business systems | 9 | 3% | 63 | 2% | even |
| Research and science | 8 | 2% | 20 | 1% | even |
| Sales | 2 | 1% | 11 | 0% | even |
| General management & consulting | 1 | 0% | 15 | 0% | even |
| Engineering (non-software) | – | – | 53 | 2% | outside top 12 |
| Finance & accounting | – | – | 32 | 1% | outside top 12 |
| Product, program & project management | – | – | 24 | 1% | outside top 12 |
| Education & training | – | – | 13 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 13 | 0% | outside top 12 |
| Marketing & communications | – | – | 10 | 0% | outside top 12 |
The companies behind each column
Companies using PyTorch FSDP →
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 1,040 companies in job postings and PyTorch FSDP by 114; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/pytorch-fsdp-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.
PyTorch FSDP vs scikit-learn: questions
Which is more used, PyTorch FSDP or scikit-learn?
By companies naming it in their own job postings, scikit-learn (1,040) over PyTorch FSDP (114). By website-and-DNS footprint, scikit-learn (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses PyTorch FSDP?
59% of PyTorch FSDP companies have 2 to 200 employees, against 49% for scikit-learn. 18% of PyTorch FSDP companies have over 1,000 employees, against 30% for scikit-learn.
Do companies run both?
0 companies name both in their postings, usually PyTorch FSDP 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.
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