# Polars

> Polars is a blazingly fast, open-source DataFrame library and query engine written in Rust, with first-party bindings for Python, Rust, Node.js, and R. It offers lazy and eager execution, streaming for larger-than-memory datasets, query optimization, multi-threading, and the Apache Arrow columnar format. Polars Cloud extends the same API to managed and on-premise distributed compute with zero code changes. This llms.txt was generated by API Evangelist from the catalog record; Polars does not publish an official /llms.txt.

## Docs
- [User Guide](https://docs.pola.rs/user-guide/): Getting started and concepts
- [Getting Started](https://docs.pola.rs/user-guide/getting-started/): Quick start
- [Python API Reference](https://docs.pola.rs/api/python/stable/reference/index.html): Python API
- [Rust Docs](https://docs.rs/polars/latest/polars/): Rust crate docs

## Packages
- [polars (PyPI)](https://pypi.org/project/polars/): pip install polars
- [polars (crates.io)](https://crates.io/crates/polars): cargo add polars
- [nodejs-polars (npm)](https://www.npmjs.com/package/nodejs-polars): npm install nodejs-polars
- [r-polars](https://pola-rs.github.io/r-polars/): R binding

## Cloud
- [Polars Cloud](https://cloud.pola.rs/): Managed / on-premise distributed compute, same API

## Source
- [GitHub Organization](https://github.com/pola-rs): pola-rs
- [Core repository](https://github.com/pola-rs/polars): Rust + Python DataFrame library
- [Releases / Changelog](https://github.com/pola-rs/polars/releases): Dated per-binding release notes

## Community
- [Blog](https://pola.rs/posts/): Announcements and engineering posts
- [Discord](https://discord.com/invite/4UfP5cfBE7): Community support