- Website
- pola.rs
About Polars
Polars is a high-performance DataFrame library for Python and Rust, built on Apache Arrow to handle tabular data at scale. It targets developers and data teams who need fast, scalable data manipulation with a typed API.
Key Features
When you work with Polars, you get a fast, multi-threaded engine and deployment options that scale from local notebooks to production workloads:
High-performance engine
Rust core uses multi-threading and SIMD with vectorized, columnar processing to speed up data operations.
Cross-language APIs
Python and Rust bindings offer a typed, readable API with expressive expressions for data wrangling.
Open source and licensing
MIT-licensed, open to contributions, free to use.
Distributed and scalable deployment
Run the full distributed Polars engine in your own infrastructure (cloud or on-prem); supports terabyte-scale data processing and includes a query profiler for single and distributed queries.
Summary
Best for data engineers, data scientists, and analytics-ops teams tackling large tabular datasets from notebooks to production.
