Compare · ml frameworks

ONNX VS TensorFlow_

As of 30 October 2026, TensorFlow is named by 3,290 companies and ONNX by 326; ONNX skews to companies under 200 people (55% vs 54%), TensorFlow to companies over 1,000 (25% 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: ONNX's script and mail records show on hundreds of thousands of small sites, TensorFlow rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

ONNX: 2–200 employees
55%
TensorFlow: 2–200 employees
54%
ONNX: 1,000+ employees
23%
TensorFlow: 1,000+ employees
25%
Postings per company, 90 days
2.2 · 2.8
Website or DNS footprint
0 · 0
326companies name ONNX
3,290companies name TensorFlow
242name both
713 · 9,268postings in 90 days, ONNX · TensorFlow
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
SegmentONNXshareTensorFlowshareLeans
Self-employed82%592%even
2-10 employees4413%39512%even
11-50 employees6921%71522%even
51-200 employees6520%65920%even
201-500 employees3912%38012%even
501-1000 employees258%2508%even
1001-5000 employees3210%38412%even
5001-10000 employees103%1123%even
10,001+ employees3410%33610%even
By industry
SegmentONNXshareTensorFlowshareLeans
Technology & software16250%1,72853%TensorFlow
Manufacturing & industry8626%41513%ONNX
Business & finance services268%54116%TensorFlow
Public, community & associations113%1063%even
Media & content93%1093%even
Automotive82%401%even
Consumer services & leisure72%1053%even
Commerce & trade41%602%even
Utilities & infrastructure41%682%even
Health care31%451%even
Property & construction31%291%even
Transport, logistics & rental31%301%even
By country
SegmentONNXshareTensorFlowshareLeans
United States20563%1,99361%ONNX
United Kingdom186%2076%even
Germany155%1555%even
India103%1846%TensorFlow
Canada93%863%even
Spain72%391%even
France62%903%even
United Arab Emirates52%––outside top 12
Australia52%351%even
Poland41%––outside top 12
Singapore41%361%even
Italy31%371%even
Netherlands––411%outside top 12
Sweden––331%outside top 12
Postings by team (share of each tool's postings)
SegmentONNXshareTensorFlowshareLeans
Data & AI60564%9,35871%TensorFlow
Software engineering13214%1,2559%ONNX
IT operations & business systems707%2272%ONNX
Engineering (non-software)374%3172%even
Product, program & project management111%821%even
Sales101%1111%even
research and science20%2122%even
Customer service & success10%––outside top 12
Unclassified10%971%even
General management & consulting––701%outside top 12
Education & training––480%outside top 12
Finance & accounting––470%outside top 12
Legal, compliance & risk––300%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.

TensorFlow is named by 3,290 companies in job postings and ONNX by 326; 242 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/onnx-vs-tensorflow)
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

ONNX vs TensorFlow: questions

Which is more used, ONNX or TensorFlow?

By companies naming it in their own job postings, TensorFlow (3,290) over ONNX (326). By website-and-DNS footprint, TensorFlow (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses ONNX?

55% of ONNX companies have 2 to 200 employees, against 54% for TensorFlow. 23% of ONNX companies have over 1,000 employees, against 25% for TensorFlow.

Do companies run both?

242 companies name both in their postings, usually ONNX in marketing and TensorFlow 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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