{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"polars-lts-cpu is a CPU-optimized DataFrame library that executes queries in Rust with lazy or eager evaluation, multi-threading, and SIMD support, handling datasets larger than RAM through streaming.","skillfed_tags":["dataframe-engine","query-optimization","streaming-analytics"],"use_cases":["Process CSV or Parquet files larger than available memory using streaming execution","Write SQL queries directly on DataFrames for exploratory analysis and aggregations","Build data pipelines with lazy evaluation to optimize query plans before execution","Perform grouped aggregations and window functions on large datasets with multi-threaded parallelism","Replace pandas workflows where performance or memory efficiency is critical"],"what_it_does":"polars-lts-cpu is a DataFrame library implemented in Rust that provides an OLAP query engine using Apache Arrow as its columnar memory format. It offers both lazy (query-optimized) and eager execution modes, with multi-threading and SIMD acceleration built in. The package has zero required runtime dependencies and imports quickly.\n\nYou use it to load, transform, and analyze tabular data through an expressive query API. It supports SQL queries directly on DataFrames, handles datasets larger than available RAM through streaming execution, and is designed for scientific and data engineering workflows. The LTS CPU variant is optimized for standard processors and includes pre-built wheels for macOS (Intel and ARM), Linux (x86_64 and ARM64), and Windows (x86_64 and ARM64).","worth_installing":"Yes. polars-lts-cpu is actively maintained, has no runtime dependencies, supports current Python versions, carries no known vulnerabilities, and is licensed permissively. Install friction is moderate due to compiled wheels, but pre-built binaries are available for all major platforms. It is a solid choice if you need fast DataFrame operations or must handle larger-than-RAM data."},"id":"polars-lts-cpu","links":{"html":"https://skillfed.io/packages/polars-lts-cpu","md":"https://skillfed.io/packages/polars-lts-cpu.md","pypi":"https://pypi.org/project/polars-lts-cpu/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-09-09","license_spdx":null,"license_treatment":"permissive","name":"polars-lts-cpu","python_support":"supports_current","summary":"Blazingly fast DataFrame library"},"popularity":{"monthly_downloads":632150,"position":5654,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.33.1"}