Polars alternatives
As of 4 November 2026, 28 data science libraries are named by companies instead of Polars: 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.
- Polars, companies in postings
- 219
- Most used alternative
- NumPy · 2,424
- Fastest hiring, 90 days
- NumPy
- Alternatives ranked
- 28
- Catalogue
- T-1.0.1-prov
data science libraries companies choose instead of Polars
Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.
| # | Alternative | Companies | companies | vs Polars | postings, 90 d | Compare |
|---|---|---|---|---|---|---|
| 1 | NumPyNumFOCUS | 2,424 | 1107% | 5,193 | Polars vs NumPy → | |
| 2 | pandasNumFOCUS | 2,322 | 1060% | 5,187 | Polars vs pandas → | |
| 3 | MatplotlibMatplotlib | 686 | 313% | 1,351 | Polars vs Matplotlib → | |
| 4 | SciPyNumFOCUS | 520 | 237% | 1,038 | Polars vs SciPy → | |
| 5 | D3.jsD3 | 466 | 213% | 765 | Polars vs D3.js → | |
| 6 | PlotlyPlotly | 290 | 132% | 680 | Polars vs Plotly → | |
| 7 | SeabornSeaborn | 271 | 124% | 659 | Polars vs Seaborn → | |
| 8 | SnowparkSnowflake | 172 | 79% | 591 | Polars vs Snowpark → | |
| 9 | ProphetMeta | 159 | 73% | 407 | Polars vs Prophet → | |
| 10 | Apache ArrowApache Software Foundation | 149 | 68% | 360 | Polars vs Apache Arrow → | |
| 11 | GeoPandasGeoPandas | 121 | 55% | 161 | soon | |
| 12 | 109 | 50% | 136 | soon | ||
| 13 | Chart.jsChart.js | 102 | 47% | 152 | soon | |
| 14 | OR-ToolsGoogle | 84 | 38% | 143 | soon | |
| 15 | Apache EChartsApache Software Foundation | 65 | 30% | 113 | soon | |
| 16 | PyomoSandia National Laboratories | 62 | 28% | 89 | soon | |
| 17 | ShapelyShapely | 62 | 28% | 74 | soon | |
| 18 | ggplot2Posit | 61 | 28% | 170 | soon | |
| 19 | HighchartsHighsoft | 59 | 27% | 91 | soon | |
| 20 | 57 | 26% | 85 | soon | ||
| 21 | Open3DOpen3D | 54 | 25% | 72 | soon | |
| 22 | Apple AccelerateApple | 50 | 23% | 160 | soon | |
| 23 | Eigen | 46 | 21% | 83 | soon | |
| 24 | RasterioMapbox | 42 | 19% | 49 | soon | |
| 25 | PyArrowApache Software Foundation | 34 | 16% | 60 | soon | |
| 26 | Statsmodelsstatsmodels | 31 | 14% | 58 | soon | |
| 27 | xarrayxarray | 29 | 13% | 33 | soon | |
| 28 | SymPy | 10 | 5% | 40 | soon |
Filter on any of them, or on Polars users who also name an alternative, and open the person who owns the stack.
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28 data science libraries are named by companies instead of Polars: 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/polars/alternatives)
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.
Polars alternatives: questions
What is the most used alternative to Polars?
NumPy: 2,424 companies name it in their own job postings, against 219 for Polars.
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.
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 Polars
or on what replaces it
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