Tools · ml frameworks

Companies using scikit-learn_

As of 4 November 2026, 1,639 companies name scikit-learn in their own job postings; it leaves no trace on websites or in DNS.

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

Largest market
–
Companies with 51+ staff
–
Top industry
–
Team that names it most
Data & AI · 3,852 postings
Hiring on it, last 30 days
1,382 companies
Most often alongside
PyTorch · 1,644 companies
1,639companies show scikit-learn, all sources
0on their website or in DNS records
1,639name it in their own job postings
3,810postings naming scikit-learn, last 90 days
02 — Two ways we see a tool

Where scikit-learn shows up

Each population is counted on its own. We never add them up without saying so, because they answer different questions.

Website and DNS footprint0

Companies whose own pages load scikit-learn's scripts or embeds, or whose domain's mail and hosting records (SPF, DKIM, MX, CNAME) point at scikit-learn. From our crawl of 41.5M company websites and the DNS sweep behind it. Reach: the tool is in the building.

Job postings1,639

Companies whose own postings say the team works in scikit-learn. Read hourly from ~70 applicant tracking systems, with the function, a quote and a date. Intent: the team that runs it is hiring.

Both0

Companies in the footprint whose postings also name scikit-learn. The rest of the posting population (1,639) runs scikit-learn without a public trace on the site or in DNS, which is where job data earns its place.

03 — Who uses it

Companies on scikit-learn

Companies with 51+ employees and at least medium-confidence evidence in their own postings; job boards and portals left out.

InPostCourier & express delivery · Kraków, Poland1001-5000 employeesREI SystemsGovtech public sector software · Sterling, United States501-1000 employeesDanske CommoditiesEnergy trading & wholesale marketers · Aarhus C, Denmark501-1000 employeesInfineonSemiconductor manufacturers · United States10,001+ employeesEVA PharmaPharmaceutical manufacturers · United States1001-5000 employeesCLAASAgricultural machinery manufacturers · Harsewinkel, Germany1001-5000 employeesCapitec Bank LimitedRetail & commercial banks · 10,001+ employeesMicronSemiconductor manufacturers · Boise, United States10,001+ employeesZimmer BiometMedical device manufacturers · Warsaw, United States10,001+ employeesEOS Defense Systems USADefence systems manufacturers · Huntsville, United States51-200 employeesinDriveRide hailing & mobility platforms · United States1001-5000 employeesPenn StateUniversities · United States10,001+ employeesL'Oréal GroupeGeneral personal care manufacturers · Canada10,001+ employeesStorage Rentals of AmericaSelf storage · West Palm Beach, United States501-1000 employeesAIQoDAI agent automation platforms · Cumming, United States51-200 employeesBanco WRetail & commercial banks · Bogotá, Colombia1001-5000 employeesWinbondSemiconductor manufacturers · United States1001-5000 employeesUniversität BaselUniversities · Switzerland1001-5000 employeesRazerConsumer electronics manufacturers · San Francisco, United States1001-5000 employeesING BankRetail & commercial banks · Bucureşti 32, Romania1001-5000 employees
1,639 companies show scikit-learn; 0 of them have over 1,000 employees.

Filter by country, size, team and source, open verified e-mails for the decision makers, or push new matches to your CRM every week.

Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.

06 — Job-posting evidence

Who runs scikit-learn inside the company

The 1,639 companies whose postings name scikit-learn: by country, size and the function of the role. The second number in the function table is companies.

Postings by function
postings · companies
Data & AI
3,852 · 1,843
Software engineering
334 · 195
IT operations & business systems
92 · 62
Engineering (non-software)
75 · 31
Finance & accounting
45 · 29
General management & consulting
38 · 24
Product, program & project management
37 · 25
research and science
37 · 29
Unclassified
34 · 23
Sales
25 · 15
Posting companies by country
companiesshare
United States
89154%
India
1056%
United Kingdom
905%
France
634%
Germany
604%
Canada
443%
Brazil
292%
Spain
282%
Australia
241%
Netherlands
201%
Sweden
201%
Singapore
191%
Posting companies by size
companiesshare
Self-employed
946%
2-10 employees
23915%
11-50 employees
24315%
51-200 employees
26316%
201-500 employees
18611%
501-1000 employees
1217%
1001-5000 employees
20713%
5001-10000 employees
664%
10,001+ employees
22013%
Hiring on it right now
postings
Postings, last 30 days
3,062
Postings, last 90 days
3,810
All open postings
5,054

1,382 companies opened a role that names scikit-learn in the last 30 days. A hiring team that names its tools is the moment to write to the person who owns the stack.

07 — Named alongside

What scikit-learn teams also ask for

Tools named in the same postings as scikit-learn. Office software is left out.

08 — ml frameworks

scikit-learn against the rest of its category

Ranked by companies naming each tool in postings. Whole category →

Cite this

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

1,639 companies name scikit-learn in their own job postings; it leaves no trace on websites or in DNS, so the posting layer is the whole picture. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/scikit-learn)
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 →

  • Website codeScripts, tags and embeds found on the company's own pages in our crawl of 41.5M sites. A tool counts once per company.
  • DNS recordsSPF includes, DKIM selectors, MX and CNAME records of the company's domain that point at scikit-learn or another vendor. Swept in cycles; dedicated mail-provider and hosting facets open once coverage passes 80% per country.
  • Job postingsRead hourly from the applicant tracking systems behind company career sites. A tool counts when the employer's own text names it as the team's system; candidate wish-lists and apply boilerplate are excluded. Confidence low, medium or high per company.
  • Sending infrastructureCold-e-mail sending domains are look-alike domains on a provider's infrastructure (DNS records, certificate logs) that redirect to the company. Absence is not evidence: only companies with a found sending domain are counted.
  • CompaniesCountry, size and industry come from the company profile we build from its website; headcount from LinkedIn where known, otherwise estimated. Job boards, portals and aggregators are kept out of lists.
FAQ

scikit-learn data: questions

How many companies use scikit-learn?

1,639 as of 4 November 2026: 0 carry scikit-learn on their website or in their DNS records and 1,639 name it in their own job postings; 0 show up in both. We keep the two counts apart because they measure different things.

What does "website or DNS" mean?

Our crawler finds scikit-learn's scripts, embeds and tags on the company's own pages, and our DNS sweep reads the domain's mail and hosting records (SPF includes, DKIM selectors, MX, CNAMEs) that point at scikit-learn. Either one puts the company in the footprint. The sweep is still running, so this number grows week by week.

Why is the job-posting number so much smaller?

A posting only names a tool when the team that will use it is hiring and chooses to say so. That makes it a smaller but stronger signal: it tells you which team runs scikit-learn, with a quote and a date. The footprint tells you reach.

How fresh is this?

Career sites are read hourly, websites are re-crawled on a rolling schedule and DNS is re-swept in cycles. The date at the top is when these counts were computed.

Can I get the list?

Yes. The first 20 are on this page; the full 1,639 with verified e-mails and a weekly feed of new scikit-learn users is in the product. Counting is free.

Companies and people

Get this 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 scikit-learn,
with the person who owns it

Connect the MCP server or the API, filter on scikit-learn, and get 1,000 records free.

  1. 01Sign up, no card
  2. 02Connect Claude, ChatGPT or an API key
  3. 03Ask for your market, 1,000 records free