Dataframes powered by a multithreaded, vectorized query engine, written in Rust

the portable Python dataframe library

CSVs sliced, diced & analyzed.

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

Parses XML files exported from Prelude EDC into Python dictionaries, classes, Pandas data frames, or Polars data frames

Build report of recent bird sightings in English Midlands, run with GitHub Actions.

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

For when your data won't fit in your dataframe

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

A data science toolkit for the H3 geospatial grid

Get data from the PxWeb API into a dataframe

Better SQL in Jupyter. 📊

SQL query engine using polars, base on Tauri.

web platform to introduce basic machine learning concepts, allowing users to interact with different supervised learning techniques and compare their performance

nodejs front-end of polars

A data manipulation tool for parquet, csv, and json data.

Bring polars to R

Nuclear Analysis Tool [NAT]. A 1d/2d histogram fitter/visualizer meant for nuclear physics analysis purposes.

Polars extension for IP address parsing and enrichment including geolocation