Assembly Line

Polars

Extremely fast Query Engine for DataFrames, written in Rust

Polars is an open-source dataframes and notebooks project on GitHub under the MIT license (permissive), with 40k stars. It is built with Rust, CPython and Tokio. Its last push was today.

Stars
40k
License
MIT
Activity
Active
Latest release
py-2.1.0

Code on GitHub Website

Judgement

What it is
Building block
What it does
A DataFrame and SQL query engine written in Rust, used from Python, Rust, Node.js or R, that runs queries in parallel and can spill to disk.
Adopt it when
Your pandas workloads are slow or run out of memory on a single machine and you can rewrite them in Polars' expression API.
Watch out
Its API differs from pandas, so existing code needs rewriting, and some libraries still expect pandas objects.
Ready for
Production-ready
Runs as
Library
Built with
Rust, Python and Apache Arrow
How established
Established: started 6 years ago, latest release py-2.1.0.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Polars → Rust → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.