PydanticAI VS Semantic Kernel
As of 30 October 2026, Semantic Kernel is named by 482 companies and PydanticAI by 137; PydanticAI skews to companies under 200 people (49% vs 28%), Semantic Kernel to companies over 1,000 (47% vs 28%).
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: PydanticAI's script and mail records show on hundreds of thousands of small sites, Semantic Kernel rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- PydanticAI: 2–200 employees
- 49%
- Semantic Kernel: 2–200 employees
- 28%
- PydanticAI: 1,000+ employees
- 28%
- Semantic Kernel: 1,000+ employees
- 47%
- Postings per company, 90 days
- 2.0 · 3.9
- 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 | PydanticAI | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 6 | 4% | 5 | 1% | PydanticAI |
| 2-10 employees | 15 | 11% | 20 | 4% | PydanticAI |
| 11-50 employees | 25 | 18% | 43 | 9% | PydanticAI |
| 51-200 employees | 27 | 20% | 70 | 15% | PydanticAI |
| 201-500 employees | 15 | 11% | 60 | 12% | even |
| 501-1000 employees | 11 | 8% | 56 | 12% | Semantic Kernel |
| 1001-5000 employees | 20 | 15% | 95 | 20% | Semantic Kernel |
| 5001-10000 employees | 7 | 5% | 28 | 6% | even |
| 10,001+ employees | 11 | 8% | 105 | 22% | Semantic Kernel |
| Segment | PydanticAI | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 74 | 54% | 237 | 49% | PydanticAI |
| Business & finance services | 31 | 23% | 112 | 23% | even |
| Public, community & associations | 6 | 4% | 7 | 1% | PydanticAI |
| Media & content | 6 | 4% | 12 | 2% | even |
| Manufacturing & industry | 5 | 4% | 55 | 11% | Semantic Kernel |
| Health care | 4 | 3% | 7 | 1% | even |
| Commerce & trade | 3 | 2% | 11 | 2% | even |
| Utilities & infrastructure | 3 | 2% | 14 | 3% | even |
| Transport, logistics & rental | 2 | 1% | 8 | 2% | even |
| Automotive | 1 | 1% | 3 | 1% | even |
| Hospitality & travel | 1 | 1% | – | – | outside top 12 |
| Property & construction | 1 | 1% | 10 | 2% | even |
| Consumer services & leisure | – | – | 5 | 1% | outside top 12 |
| Segment | PydanticAI | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| United States | 80 | 58% | 321 | 67% | Semantic Kernel |
| Germany | 13 | 9% | 15 | 3% | PydanticAI |
| France | 8 | 6% | 16 | 3% | PydanticAI |
| United Kingdom | 7 | 5% | 28 | 6% | even |
| Australia | 4 | 3% | 9 | 2% | even |
| Netherlands | 4 | 3% | 7 | 1% | even |
| Canada | 3 | 2% | 15 | 3% | even |
| Belgium | 2 | 1% | – | – | outside top 12 |
| Italy | 2 | 1% | – | – | outside top 12 |
| Sweden | 2 | 1% | 7 | 1% | even |
| Austria | 1 | 1% | – | – | outside top 12 |
| Bulgaria | 1 | 1% | – | – | outside top 12 |
| India | – | – | 14 | 3% | outside top 12 |
| Spain | – | – | 7 | 1% | outside top 12 |
| United Arab Emirates | – | – | 4 | 1% | outside top 12 |
| Finland | – | – | 4 | 1% | outside top 12 |
| Segment | PydanticAI | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 236 | 68% | 1,234 | 57% | PydanticAI |
| Software engineering | 72 | 21% | 469 | 22% | even |
| Sales | 6 | 2% | 26 | 1% | even |
| Engineering (non-software) | 4 | 1% | 23 | 1% | even |
| General management & consulting | 2 | 1% | 31 | 1% | even |
| IT operations & business systems | 2 | 1% | 90 | 4% | Semantic Kernel |
| Product, program & project management | – | – | 19 | 1% | outside top 12 |
| Marketing & communications | – | – | 6 | 0% | outside top 12 |
| Construction and civil | – | – | 2 | 0% | outside top 12 |
| Design & UX | – | – | 1 | 0% | outside top 12 |
| Facilities cleaning and security | – | – | 1 | 0% | outside top 12 |
| Finance & accounting | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using PydanticAI →
Companies using Semantic Kernel →
llm app frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Semantic Kernel is named by 482 companies in job postings and PydanticAI by 137; 24 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/pydantic-ai-vs-semantic-kernel)
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.
PydanticAI vs Semantic Kernel: questions
Which is more used, PydanticAI or Semantic Kernel?
By companies naming it in their own job postings, Semantic Kernel (482) over PydanticAI (137). By website-and-DNS footprint, Semantic Kernel (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses PydanticAI?
49% of PydanticAI companies have 2 to 200 employees, against 28% for Semantic Kernel. 28% of PydanticAI companies have over 1,000 employees, against 47% for Semantic Kernel.
Do companies run both?
24 companies name both in their postings, usually PydanticAI in marketing and Semantic Kernel 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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