Polars GitHub Repositories (2026) · Open Source Tools

Extremely fast Query Engine for DataFrames, written in Rust

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

the portable Python dataframe library

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

Lightweight and extensible compatibility layer between dataframe libraries!

Tidy sports data in Python: play-by-play, box scores, schedules, rosters and models across 100+ leagues (NFL, NBA, WNBA, MLB, NHL, college sports, soccer, international basketball and hockey). polars-first.

Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.

Intuitive Data Workflows

codegen from expression to others, such as polars, pandas

Datos públicos de Chile curados, normalizados y validados: geografía, demografía, economía, salud, educación y distritos electorales. Listos para consumir en una línea de código con Polars, DuckDB, SQLite y Excel.