Polars
Showing 9 of 9 projects
An extremely fast query engine for DataFrames, written in Rust, with multi-language frontends.
A flexible and expressive API for performing statistical data validation on dataframe-like objects.
A blazing-fast command-line toolkit for querying, slicing, analyzing, transforming, and validating tabular data (CSV, Excel, JSONL, etc.).
Display Pandas and Polars DataFrames as interactive, sortable, and searchable DataTables in Jupyter notebooks and Python applications.
A Python library for comparing Pandas, Polars, Spark, and Snowpark DataFrames with detailed reporting and flexible matching.
A Python library for parsing, analyzing, and visualizing Counter-Strike 2 demo files and game data.
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
A Python library for blazing-fast, memory-efficient genomics data operations using DataFrames.
A Python histogram library offering updateable, semantic histogram objects with multiple visualization backends and data source support.
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