Apache Arrow VS Matplotlib
As of 30 October 2026, Matplotlib is named by 477 companies and Apache Arrow by 110; Apache Arrow skews to companies under 200 people (42% vs 47%), Matplotlib to companies over 1,000 (30% vs 26%).
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: Apache Arrow's script and mail records show on hundreds of thousands of small sites, Matplotlib rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Arrow: 2–200 employees
- 42%
- Matplotlib: 2–200 employees
- 47%
- Apache Arrow: 1,000+ employees
- 26%
- Matplotlib: 1,000+ employees
- 30%
- Postings per company, 90 days
- 2.7 · 2.1
- 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 | Apache Arrow | share | Matplotlib | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 10 | 9% | 40 | 8% | even |
| 11-50 employees | 20 | 18% | 71 | 15% | Apache Arrow |
| 51-200 employees | 16 | 15% | 114 | 24% | Matplotlib |
| 201-500 employees | 21 | 19% | 66 | 14% | Apache Arrow |
| 501-1000 employees | 14 | 13% | 32 | 7% | Apache Arrow |
| 1001-5000 employees | 13 | 12% | 57 | 12% | even |
| 5001-10000 employees | 2 | 2% | 26 | 5% | Matplotlib |
| 10,001+ employees | 14 | 13% | 62 | 13% | even |
| Self-employed | – | – | 9 | 2% | outside top 12 |
| Segment | Apache Arrow | share | Matplotlib | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 42 | 38% | 195 | 41% | Matplotlib |
| Business & finance services | 30 | 27% | 71 | 15% | Apache Arrow |
| Manufacturing & industry | 13 | 12% | 78 | 16% | Matplotlib |
| Public, community & associations | 4 | 4% | 26 | 5% | even |
| Consumer services & leisure | 4 | 4% | 36 | 8% | Matplotlib |
| Property & construction | 4 | 4% | 9 | 2% | even |
| Utilities & infrastructure | 4 | 4% | 19 | 4% | even |
| Commerce & trade | 2 | 2% | 11 | 2% | even |
| Health care | 2 | 2% | 6 | 1% | even |
| Media & content | 2 | 2% | 12 | 3% | even |
| Transport, logistics & rental | 2 | 2% | 7 | 1% | even |
| Automotive | 1 | 1% | 5 | 1% | even |
| Segment | Apache Arrow | share | Matplotlib | share | Leans |
|---|---|---|---|---|---|
| United States | 79 | 72% | 295 | 62% | Apache Arrow |
| United Kingdom | 8 | 7% | 24 | 5% | Apache Arrow |
| Germany | 4 | 4% | 20 | 4% | even |
| Canada | 3 | 3% | 13 | 3% | even |
| France | 3 | 3% | 13 | 3% | even |
| Brazil | 2 | 2% | – | – | outside top 12 |
| Singapore | 2 | 2% | 6 | 1% | even |
| United Arab Emirates | 1 | 1% | – | – | outside top 12 |
| Austria | 1 | 1% | – | – | outside top 12 |
| Australia | 1 | 1% | 5 | 1% | even |
| Cyprus | 1 | 1% | – | – | outside top 12 |
| Finland | 1 | 1% | – | – | outside top 12 |
| India | – | – | 27 | 6% | outside top 12 |
| Switzerland | – | – | 8 | 2% | outside top 12 |
| Spain | – | – | 6 | 1% | outside top 12 |
| Poland | – | – | 6 | 1% | outside top 12 |
| Belgium | – | – | 5 | 1% | outside top 12 |
| Segment | Apache Arrow | share | Matplotlib | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 110 | 28% | 108 | 8% | Apache Arrow |
| Engineering (non-software) | 92 | 23% | 90 | 6% | Apache Arrow |
| Data & AI | 75 | 19% | 950 | 67% | Matplotlib |
| Sales | 28 | 7% | – | – | outside top 12 |
| IT operations & business systems | 7 | 2% | 6 | 0% | even |
| Business development & strategy | 4 | 1% | – | – | outside top 12 |
| Manufacturing and production | 4 | 1% | – | – | outside top 12 |
| Research and science | 4 | 1% | 20 | 1% | even |
| Product, program & project management | 3 | 1% | 6 | 0% | even |
| Administration & office | 2 | 1% | – | – | outside top 12 |
| General management & consulting | 2 | 1% | – | – | outside top 12 |
| Logistics warehouse and transport | 2 | 1% | – | – | outside top 12 |
| Finance & accounting | – | – | 21 | 1% | outside top 12 |
| Education & training | – | – | 15 | 1% | outside top 12 |
| Legal, compliance & risk | – | – | 7 | 0% | outside top 12 |
| Marketing & communications | – | – | 6 | 0% | outside top 12 |
| Customer service & success | – | – | 5 | 0% | outside top 12 |
| Design & UX | – | – | 5 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Arrow →
Companies using Matplotlib →
data science libraries ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Matplotlib is named by 477 companies in job postings and Apache Arrow by 110; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-arrow-vs-matplotlib)
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.
Apache Arrow vs Matplotlib: questions
Which is more used, Apache Arrow or Matplotlib?
By companies naming it in their own job postings, Matplotlib (477) over Apache Arrow (110). By website-and-DNS footprint, Matplotlib (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Arrow?
42% of Apache Arrow companies have 2 to 200 employees, against 47% for Matplotlib. 26% of Apache Arrow companies have over 1,000 employees, against 30% for Matplotlib.
Do companies run both?
0 companies name both in their postings, usually Apache Arrow in marketing and Matplotlib 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.
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
Filter on Apache Arrow or Matplotlib. Start free, no card.