Popular GitHub Repositories for Polars

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

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

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

A work in progress to build out solutions in Rust for MLOPs

Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide

Build reliable AI and agentic applications with DataFrames

ML infrastructure for teams that just want to get sh*t done.

Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow

一个独立的、轻量级的、开箱即用的现代机器学习研究平台

A powerful yet friendly ETL tool powered by Polars backend

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.

Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system

A Framework For Intelligence Farming

Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️

DF Embedder is a high-performance Python library (with a Rust backend) for indexing and embedding Apache Arrow compatible DataFrames (like Polars or Pandas) into low latency vector databases based on Lance files.

高效地查询带有标签/属性过滤的多重有向图中的模式，支持 Neo4j 和 SQLite3 作为存储层。

An end-to-end MLOps pipeline to develop, train, and deploy an Image Caption model that automatically generates captions for images based on diverse datasets

一个高级Python库，旨在简化数据科学家的数据准备和转换工作。让数据科学更轻松，减少数据处理的痛苦。

Predicting Body Fat Percentage Using Machine Learning

Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB, Pandas) with centralized rule configuration.