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Compare · data science libraries

Matplotlib VS NumPy_

As of 4 November 2026, NumPy is named by 2,424 companies and Matplotlib by 686; Matplotlib skews to companies under 200 people (43% vs 44%), NumPy to companies over 1,000 (31% vs 34%).

As of 4 November 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: Matplotlib's script and mail records show on hundreds of thousands of small sites, NumPy rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

Matplotlib: 2–200 employees
43%
NumPy: 2–200 employees
44%
Matplotlib: 1,000+ employees
34%
NumPy: 1,000+ employees
31%
Postings per company, 90 days
2.0 · 2.1
Website or DNS footprint
0 · 0
686companies name Matplotlib
2,424companies name NumPy
624name both
1,351 · 5,193postings in 90 days, Matplotlib · NumPy
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
SegmentMatplotlibshareNumPyshareLeans
Self-employed315%1054%even
2-10 employees609%2259%even
11-50 employees8813%38516%NumPy
51-200 employees14822%44518%Matplotlib
201-500 employees8212%31513%even
501-1000 employees446%1958%even
1001-5000 employees8312%31513%even
5001-10000 employees386%914%even
10,001+ employees11216%34814%even
By industry
SegmentMatplotlibshareNumPyshareLeans
Technology & software24936%97240%NumPy
Business & finance services11417%54723%NumPy
Manufacturing & industry10716%34314%even
Consumer services & leisure599%1105%Matplotlib
Public, community & associations386%984%even
Utilities & infrastructure274%833%even
Media & content223%854%even
Commerce & trade172%542%even
Automotive152%402%even
Property & construction122%211%even
Transport, logistics & rental112%261%even
Health care101%301%even
By country
SegmentMatplotlibshareNumPyshareLeans
United States40259%1,39958%even
India396%1325%even
United Kingdom335%1697%NumPy
Germany274%994%even
France223%753%even
Canada152%492%even
Singapore112%241%even
Switzerland91%––outside top 12
Spain91%351%even
Brazil81%301%even
Netherlands71%211%even
Poland61%221%even
Italy––241%outside top 12
Postings by team (share of each tool's postings)
SegmentMatplotlibshareNumPyshareLeans
Data & AI1,23468%4,24060%Matplotlib
Software engineering1317%1,00214%NumPy
Engineering (non-software)1066%3165%even
Finance & accounting261%1933%even
research and science221%1001%even
Education & training161%421%even
IT operations & business systems131%821%even
Unclassified111%330%even
Legal, compliance & risk90%581%even
Customer service & success80%80%even
Marketing & communications80%220%even
General management & consulting70%190%even
Design & UX60%30%even
Product, program & project management60%190%even
logistics warehouse and transport40%120%even
construction and civil30%60%even
Sales30%80%even
Quality, safety & environment20%100%even
skilled trades and field service20%20%even
public safety and protective services10%20%even
Business development & strategy––40%outside top 12
Human resources––30%outside top 12
arts media and entertainment––20%outside top 12
Administration & office––10%outside top 12
agriculture and environment––10%outside top 12
Go deeper

The companies behind each column

Companies using Matplotlib →
Companies using NumPy →
data science libraries ranked →

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

NumPy is named by 2,424 companies in job postings and Matplotlib by 686; 624 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/matplotlib-vs-numpy)
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

Matplotlib vs NumPy: questions

Which is more used, Matplotlib or NumPy?

By companies naming it in their own job postings, NumPy (2,424) over Matplotlib (686). By website-and-DNS footprint, NumPy (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Matplotlib?

43% of Matplotlib companies have 2 to 200 employees, against 44% for NumPy. 34% of Matplotlib companies have over 1,000 employees, against 31% for NumPy.

Do companies run both?

624 companies name both in their postings, usually Matplotlib in marketing and NumPy 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.

SearchCompany searchFilter on what a company actually does→SearchPeople searchDecision makers, normalized and verified→MCP and APICompanies over MCP and APICount, search and export from your agent→DatasetCompany and People datasetThe whole market in your warehouse→DataCoverage by countryCheck your market before you start→SearchLocal businessesThe same database, by category and city→

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

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