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Tools · data science libraries · Alternatives

Seaborn alternatives

As of 4 November 2026, 28 data science libraries are named by companies instead of Seaborn: NumPy by 2,424 companies, pandas by 2,322, Matplotlib by 686.

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

Seaborn, companies in postings
271
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 Seaborn

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

#AlternativeCompaniescompaniesvs Seabornpostings, 90 dCompare
1
NumPyNumFOCUS
2,424894%5,193Seaborn vs NumPy →
2
pandasNumFOCUS
2,322857%5,187Seaborn vs pandas →
3
MatplotlibMatplotlib
686253%1,351Seaborn vs Matplotlib →
4
SciPyNumFOCUS
520192%1,038Seaborn vs SciPy →
5
466172%765Seaborn vs D3.js →
6
PlotlyPlotly
290107%680Seaborn vs Plotly →
7
PolarsPolars
21981%408Seaborn vs Polars →
8
SnowparkSnowflake
17263%591Seaborn vs Snowpark →
9
15959%407Seaborn vs Prophet →
10
Apache ArrowApache Software Foundation
14955%360Seaborn vs Apache Arrow →
11
GeoPandasGeoPandas
12145%161soon
12
10940%136soon
13
Chart.jsChart.js
10238%152soon
14
OR-ToolsGoogle
8431%143soon
15
Apache EChartsApache Software Foundation
6524%113soon
16
PyomoSandia National Laboratories
6223%89soon
17
ShapelyShapely
6223%74soon
18
ggplot2Posit
6123%170soon
19
HighchartsHighsoft
5922%91soon
20
5721%85soon
21
Open3DOpen3D
5420%72soon
22
5018%160soon
23
Eigen
4617%83soon
24
RasterioMapbox
4215%49soon
25
PyArrowApache Software Foundation
3413%60soon
26
Statsmodelsstatsmodels
3111%58soon
27
xarrayxarray
2911%33soon
28
SymPy
104%40soon
8,756 companies name a data science librarie in their postings.

Filter on any of them, or on Seaborn 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 Seaborn: NumPy by 2,424 companies, pandas by 2,322, Matplotlib by 686, measured from their own job postings. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/seaborn/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

Seaborn alternatives: questions

What is the most used alternative to Seaborn?

NumPy: 2,424 companies name it in their own job postings, against 271 for Seaborn.

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

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Every company on Seaborn
or on what replaces it

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