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Fleetora · first roles in DEdata science platforms notebooks, ranked by real usage_
As of 4 November 2026, Alteryx leads data science platforms notebooks with 1,039 companies naming it in job postings, ahead of Jupyter at 703.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Leader
- Alteryx · 1,039
- Runner-up
- Jupyter · 703
- Most hiring, 90 days
- Alteryx
- Highest postings per company
- Palantir Foundry
- Catalogue
- T-1.0.1-prov
Every data science platforms notebook we can measure
Companies naming the tool, and postings naming it in the last 90 days. Bars are relative to the leader.
| # | Tool | Companies | companies | Postings, 90 days | postings | per company |
|---|---|---|---|---|---|---|
| 1 | AlteryxAlteryx | 1,039 | 4,183 | 4.0 | ||
| 2 | JupyterProject Jupyter | 703 | 1,326 | 1.9 | ||
| 3 | StreamlitSnowflake | 509 | 1,156 | 2.3 | ||
| 4 | HexHex Technologies | 275 | 630 | 2.3 | ||
| 5 | PalantirPalantir Technologies | 214 | 1,041 | 4.9 | ||
| 6 | Palantir FoundryPalantir | 207 | 1,231 | 5.9 | ||
| 7 | R ShinyPosit | 206 | 430 | 2.1 | ||
| 8 | DataikuDataiku | 194 | 721 | 3.7 | ||
| 9 | KNIMEKNIME | 140 | 376 | 2.7 | ||
| 10 | KaggleGoogle | 129 | 272 | 2.1 | ||
| 11 | AdvanaUS Department of Defense | 52 | 247 | 4.8 | ||
| 12 | JupyterHubProject Jupyter | 44 | 107 | 2.4 | ||
| 13 | AnacondaAnaconda Inc. | 43 | 161 | 3.7 | ||
| 14 | Databricks AppsDatabricks | 39 | 121 | 3.1 | ||
| 15 | Plotly DashPlotly | 33 | 58 | 1.8 |
Compare two tools
Same data, two columns: who chooses which by size, industry and country.
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Alteryx leads data science platforms notebooks with 1,039 companies naming it in job postings, ahead of Jupyter at 703. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/category/data-science-platforms-notebooks)
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 →
- CatalogueBreaknorm technology catalogue T-1.0.1-prov: 6,296 tools with vendor and category, editions folded into their parent.
- CompaniesCompanies whose own postings name the tool as the team's system, any confidence. Candidate wish-lists excluded.
- 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
- Not countedTools used by teams that do not post jobs, and companies without a career site we can read.
data science platforms notebooks: questions
How is this ranking made?
By the number of companies whose own job postings name the tool as the team's system, from the Breaknorm technology catalogue (version T-1.0.1-prov). No vendor paid for a position and no editor chose the order.
Why is this different from review-site rankings?
Review sites rank by reviews collected. This ranks by companies hiring people to work in the tool, which is closer to seats in use. It under-counts tools used by teams that rarely post jobs.
What about product editions?
Editions and sub-products () are counted under the parent so no company is counted twice.
Can I get the companies behind a number?
Yes: click a tool, see the first 20, and sign up for the full list with verified e-mails. Counting is free.
Get the companies 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 every tool,
ranked by what they say
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