pola-rs/polars
Extremely fast Query Engine for DataFrames, written in Rust
About the project
Polars is an analytical query engine for DataFrames written in Rust, with bindings for Python, Node.js, R, and SQL. It offers fast queries with lazy execution, out-of-the-box optimization, and streaming processing for datasets larger than RAM.
Useful for
- Run order aggregation by customer from a parquet file using a lazy query
- Process 250GB of data on a laptop via streaming collect mode
- Speed up existing pandas pipelines by rewriting them with Polars expressions
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 2 stars so far today, about 8 expected by the end of the day.
- GitHub Trending Rust today: #11, +24 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 39,782
- Stars in a day
- 8
- Forks
- 3,116
- Issues and pull requests
- 29,286
- Watchers
- 221
- Language
- Rust
- License
- MIT
- Latest release
- py-1.44.2 · September 9, 2026
- Created
- May 13, 2020
- Last push
- September 19, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 19, 2026GitHub Trending Rust today: #11, +24 stars
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