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
Replaces pandas: why Polars is the better choice, and when it is not.
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.
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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.