Polars DataFrame & Series offer unparalleled performance. Polars delivers this amazing performance by leveraging a multi-threaded Rust backend. A series of benchmarks were performed comparing Polars to other commonly used libraries from NPM. The 10k Dataset read operations were ~40x faster. Filtering was ~15x faster than the nativefs module.
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100x Faster Data Processing in JavascriptPolars is a blazingly fast DataFrame library implemented in Rust using Apache Arrow Columnar Format as memory model.Polars consists of two main components.Polars DataFrame & Series offer unparalleled performanceSeries BenchmarkCSV BenchmarkUsing PolarsSome Examples.Extracting unique values from a single field and writing to JSONJoining on a keyWrapping Up.Sort: