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Compare · data science libraries

pandas VS Seaborn

As of 30 October 2026, Seaborn is named by 204 companies and pandas by 1,552; pandas skews to companies under 200 people (47% vs 44%), Seaborn to companies over 1,000 (33% vs 29%).

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: pandas's script and mail records show on hundreds of thousands of small sites, Seaborn rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

pandas: 2–200 employees
47%
Seaborn: 2–200 employees
44%
pandas: 1,000+ employees
29%
Seaborn: 1,000+ employees
33%
Postings per company, 90 days
2.2 · 2.6
Website or DNS footprint
0 · 0
1,552companies name pandas
204companies name Seaborn
164name both
3,481 · 524postings in 90 days, pandas · Seaborn
02Side 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
SegmentpandasshareSeabornshareLeans
Self-employed262%52%even
2-10 employees16311%157%pandas
11-50 employees27017%3316%even
51-200 employees30420%4120%even
201-500 employees20313%2613%even
501-1000 employees1399%178%even
1001-5000 employees18712%3216%Seaborn
5001-10000 employees543%94%even
10,001+ employees20613%2613%even
By industry
SegmentpandasshareSeabornshareLeans
Technology & software71746%8743%pandas
Business & finance services35823%3819%pandas
Manufacturing & industry16411%2713%Seaborn
Consumer services & leisure634%126%even
Public, community & associations463%73%even
Utilities & infrastructure463%105%even
Media & content443%––outside top 12
Commerce & trade382%31%even
Automotive242%31%even
Transport, logistics & rental201%52%even
Health care131%31%even
Property & construction131%42%even
Hospitality & travel––31%outside top 12
By country
SegmentpandasshareSeabornshareLeans
United States92660%11757%pandas
United Kingdom1208%126%even
India886%147%even
Germany705%94%even
France614%63%even
Canada382%73%even
Brazil191%31%even
Spain191%21%even
Poland171%31%even
Belgium141%42%even
Singapore141%––outside top 12
Switzerland131%63%Seaborn
Australia––31%outside top 12
Postings by team (share of each tool's postings)
SegmentpandasshareSeabornshareLeans
Data & AI3,08661%57379%Seaborn
Software engineering76715%264%pandas
Engineering (non-software)1333%172%even
Finance & accounting1142%101%even
IT operations & business systems1012%81%even
Legal, compliance & risk471%51%even
Research and science451%122%even
Product, program & project management240%––outside top 12
Sales210%41%even
General management & consulting190%––outside top 12
Marketing & communications190%––outside top 12
Education & training140%61%even
Human resources––41%outside top 12
Unclassified––30%outside top 12
Customer service & success––20%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.

Seaborn is named by 204 companies in job postings and pandas by 1,552; 164 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/pandas-vs-seaborn)
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

pandas vs Seaborn: questions

Which is more used, pandas or Seaborn?

By companies naming it in their own job postings, pandas (1,552) over Seaborn (204). By website-and-DNS footprint, Seaborn (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses pandas?

47% of pandas companies have 2 to 200 employees, against 44% for Seaborn. 29% of pandas companies have over 1,000 employees, against 33% for Seaborn.

Do companies run both?

164 companies name both in their postings, usually pandas in marketing and Seaborn 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

Get either list your way

The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.

Every company on either tool,
with the person who owns it

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