Breaknorm
Sign inStart free

Product

SignalsPeopleCompaniesLocal businessesMCP and API

Plays

Post engagersTeam build-outChampion movedHiring surgeNewly fundedLookalikesAll plays

Data

Coverage by countryHiring dataJob changesEmail verificationCompanies by toolWho is hiringMarket mapsOutboundCompany profilesCompare
PricingDatasetsDocsSign in
Tools · data science libraries · Alternatives

pandas alternatives

As of 4 November 2026, 28 data science libraries are named by companies instead of pandas: NumPy by 2,424 companies, Matplotlib by 686, SciPy by 520.

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

pandas, companies in postings
2,322
Most used alternative
NumPy · 2,424
Fastest hiring, 90 days
NumPy
Alternatives ranked
28
Catalogue
T-1.0.1-prov
01Ranked by evidence

data science libraries companies choose instead of pandas

Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.

#AlternativeCompaniescompaniesvs pandaspostings, 90 dCompare
1
NumPyNumFOCUS
2,424104%5,193pandas vs NumPy →
2
MatplotlibMatplotlib
68630%1,351pandas vs Matplotlib →
3
SciPyNumFOCUS
52022%1,038pandas vs SciPy →
4
46620%765pandas vs D3.js →
5
PlotlyPlotly
29012%680pandas vs Plotly →
6
SeabornSeaborn
27112%659pandas vs Seaborn →
7
PolarsPolars
2199%408pandas vs Polars →
8
SnowparkSnowflake
1727%591pandas vs Snowpark →
9
1597%407pandas vs Prophet →
10
Apache ArrowApache Software Foundation
1496%360pandas vs Apache Arrow →
11
GeoPandasGeoPandas
1215%161soon
12
1095%136soon
13
Chart.jsChart.js
1024%152soon
14
OR-ToolsGoogle
844%143soon
15
Apache EChartsApache Software Foundation
653%113soon
16
PyomoSandia National Laboratories
623%89soon
17
ShapelyShapely
623%74soon
18
ggplot2Posit
613%170soon
19
HighchartsHighsoft
593%91soon
20
572%85soon
21
Open3DOpen3D
542%72soon
22
502%160soon
23
Eigen
462%83soon
24
RasterioMapbox
422%49soon
25
PyArrowApache Software Foundation
341%60soon
26
Statsmodelsstatsmodels
311%58soon
27
xarrayxarray
291%33soon
28
SymPy
100%40soon
8,756 companies name a data science librarie in their postings.

Filter on any of them, or on pandas users who also name an alternative, and open the person who owns the stack.

Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.

Cite this

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

28 data science libraries are named by companies instead of pandas: NumPy by 2,424 companies, Matplotlib by 686, SciPy by 520, measured from their own job postings. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/pandas/alternatives)
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 →

  • RankingCompanies whose own postings name the tool as the team's system, from the Breaknorm technology catalogue T-1.0.1-prov. Editions are folded into their parent product.
  • 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
  • Not includedRatings, prices, feature claims, sponsored positions.
FAQ

pandas alternatives: questions

What is the most used alternative to pandas?

NumPy: 2,424 companies name it in their own job postings, against 2,322 for pandas.

How is this list ranked?

By the number of companies whose own postings name the tool as the team's system (Breaknorm technology catalogue T-1.0.1-prov), then by postings in the last 90 days. No ratings, no vendor input, no sponsored positions.

Does this say which is better?

No. It says who uses what, by company size, industry and country, so you can see which tools companies like yours choose. For features and prices, read the vendors.

Can I get the companies on any of these?

Yes: click the tool, see the first 20 companies, and sign up for the full list with verified e-mails. Counting is free.

Companies and people

Get these 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 pandas
or on what replaces it

Connect the MCP server, filter on any tool. Start free, no card.

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