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# Polars

Polars is a fast DataFrame library written in Rust, with Python, Node.js and R bindings, a lazy query engine and Apache Arrow columnar memory.

## At a glance

- **Page**: https://devicons.io/icons/polars/
- **Website**: https://pola.rs/
- **Also known as**: Polars DataFrame, py-polars, nodejs-polars, Polars Cloud
- **Tags**: [Data](/icons/tag/data/), [Dataframe](/icons/tag/dataframe/), [Rust](/icons/tag/rust/), [Python](/icons/tag/python/), [Analytics](/icons/tag/analytics/)
- **Version added**: 1.3.0

## Files

Each file is one variant of this logo. The component name is derived from the file name.

| File | Component | Color SVG | Monochrome SVG | Font class |
| --- | --- | --- | --- | --- |
| `polars` | `Polars` | https://devicons.io/devicons/icons/polars.svg | https://devicons.io/devicons/font/polars.svg | `devicons devicons-polars` |

## Install and use

```bash
npm install @dev.icons/react  # or @dev.icons/vue, @dev.icons/svelte
```

### React

```tsx
import { Polars } from "@dev.icons/react";
// Monochrome (inherits currentColor):
// import { Polars } from "@dev.icons/react/mono";

<Polars size={32} alt="Polars logo" />
```

### Vue

```vue
<script setup>
import { Polars } from "@dev.icons/vue";
</script>

<template>
  <Polars :size="32" alt="Polars logo" />
</template>
```

### Svelte

```svelte
<script>
  import { Polars } from "@dev.icons/svelte";
</script>

<Polars size={32} alt="Polars logo" />
```

### Raw SVG

```html
<img src="https://devicons.io/devicons/icons/polars.svg" alt="Polars logo" width="48" height="48" />
```

### Icon font

```css
@import "devicons/css"; /* npm install devicons */
```

```html
<i class="devicons devicons-polars"></i>
```

## About the Polars logo

The Polars logo is a polar bear drawn from vertical bars in shades of blue (#0075FF), like a bar chart shaped into the bear's body, head and legs.

The blue bars read well on light backgrounds and stay visible on dark ones.

## When to use this logo

Use Polars in DataFrame library comparisons, Python data stack diagrams, ETL pipeline docs and benchmark write-ups. It pairs naturally with pandas, NumPy, Apache Spark, Rust and Python.

## Related icons

- [Amplitude](/icons/amplitude.md)
- [Cube](/icons/cube.md)
- [Keen](/icons/keen.md)
- [LlamaIndex](/icons/llamaindex.md)
- [Pandas](/icons/pandas.md)
- [Segment](/icons/segment.md)
- [uv](/icons/uv.md)
- [Woopra](/icons/woopra.md)

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