PyTorch VS XGBoost
As of 30 October 2026, XGBoost is named by 431 companies and PyTorch by 4,159; PyTorch skews to companies under 200 people (57% vs 39%), XGBoost to companies over 1,000 (40% vs 23%).
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's script and mail records show on hundreds of thousands of small sites, XGBoost rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- PyTorch: 2–200 employees
- 57%
- XGBoost: 2–200 employees
- 39%
- PyTorch: 1,000+ employees
- 23%
- XGBoost: 1,000+ employees
- 40%
- Postings per company, 90 days
- 3.3 · 1.9
- 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 | share | XGBoost | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 112 | 3% | 5 | 1% | even |
| 2-10 employees | 589 | 14% | 34 | 8% | PyTorch |
| 11-50 employees | 928 | 22% | 46 | 11% | PyTorch |
| 51-200 employees | 839 | 20% | 88 | 20% | even |
| 201-500 employees | 454 | 11% | 43 | 10% | even |
| 501-1000 employees | 293 | 7% | 41 | 10% | XGBoost |
| 1001-5000 employees | 455 | 11% | 97 | 23% | XGBoost |
| 5001-10000 employees | 127 | 3% | 21 | 5% | even |
| 10,001+ employees | 362 | 9% | 56 | 13% | XGBoost |
| Segment | PyTorch | share | XGBoost | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 2,236 | 54% | 187 | 43% | PyTorch |
| Business & finance services | 618 | 15% | 117 | 27% | XGBoost |
| Manufacturing & industry | 552 | 13% | 27 | 6% | PyTorch |
| Public, community & associations | 171 | 4% | 6 | 1% | PyTorch |
| Media & content | 131 | 3% | 21 | 5% | even |
| Consumer services & leisure | 126 | 3% | 16 | 4% | even |
| Utilities & infrastructure | 75 | 2% | 11 | 3% | even |
| Commerce & trade | 66 | 2% | 17 | 4% | XGBoost |
| Health care | 54 | 1% | 6 | 1% | even |
| Automotive | 41 | 1% | – | – | outside top 12 |
| Transport, logistics & rental | 35 | 1% | 5 | 1% | even |
| Property & construction | 33 | 1% | 7 | 2% | even |
| Hospitality & travel | – | – | 5 | 1% | outside top 12 |
| Segment | PyTorch | share | XGBoost | share | Leans |
|---|---|---|---|---|---|
| United States | 2,568 | 62% | 250 | 58% | PyTorch |
| United Kingdom | 274 | 7% | 42 | 10% | XGBoost |
| Germany | 212 | 5% | 13 | 3% | PyTorch |
| India | 201 | 5% | 12 | 3% | PyTorch |
| France | 106 | 3% | 14 | 3% | even |
| Canada | 96 | 2% | 10 | 2% | even |
| Netherlands | 51 | 1% | 5 | 1% | even |
| Australia | 49 | 1% | 6 | 1% | even |
| Spain | 48 | 1% | – | – | outside top 12 |
| Switzerland | 46 | 1% | – | – | outside top 12 |
| Singapore | 42 | 1% | 6 | 1% | even |
| Italy | 40 | 1% | – | – | outside top 12 |
| Brazil | – | – | 14 | 3% | outside top 12 |
| Poland | – | – | 9 | 2% | outside top 12 |
| Belgium | – | – | 4 | 1% | outside top 12 |
| Segment | PyTorch | share | XGBoost | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 13,159 | 69% | 939 | 83% | XGBoost |
| Software engineering | 1,840 | 10% | 33 | 3% | PyTorch |
| Engineering (non-software) | 432 | 2% | – | – | outside top 12 |
| Research and science | 410 | 2% | 5 | 0% | even |
| IT operations & business systems | 379 | 2% | 13 | 1% | even |
| Sales | 178 | 1% | 15 | 1% | even |
| Product, program & project management | 140 | 1% | 9 | 1% | even |
| Unclassified | 107 | 1% | 2 | 0% | even |
| General management & consulting | 68 | 0% | 5 | 0% | even |
| Finance & accounting | 64 | 0% | 13 | 1% | even |
| Education & training | 45 | 0% | – | – | outside top 12 |
| Customer service & success | 35 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | – | – | 21 | 2% | outside top 12 |
| Marketing & communications | – | – | 3 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using PyTorch →
Companies using XGBoost →
ml frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
XGBoost is named by 431 companies in job postings and PyTorch by 4,159; 429 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/pytorch-vs-xgboost)
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 vs XGBoost: questions
Which is more used, PyTorch or XGBoost?
By companies naming it in their own job postings, PyTorch (4,159) over XGBoost (431). By website-and-DNS footprint, XGBoost (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses PyTorch?
57% of PyTorch companies have 2 to 200 employees, against 39% for XGBoost. 23% of PyTorch companies have over 1,000 employees, against 40% for XGBoost.
Do companies run both?
429 companies name both in their postings, usually PyTorch in marketing and XGBoost 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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