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Polars 2.0

Polars 2.0

Faster DataFrames and SQL for data that outgrows memory

5.0
•1 review•

5 followers

Polars 2.0 is the biggest upgrade yet to the fast, open-source DataFrame library. Lazy queries now use its streaming engine by default, with initial out-of-core support that spills large workloads to disk instead of running out of memory. SQL is now a first-class citizen, backed by major optimizer and engine improvements, plus a new Map type and stricter APIs designed for faster feedback from both humans and AI coding agents.

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