#Polars
Showing 60 of 77 repositories tagged #polars, ranked by stars
Extremely fast Query Engine for DataFrames, written in Rust
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
the portable Python dataframe library
Mimesis is a fast Python library for generating fake data in multiple languages.
Blazing-fast Data-Wrangling toolkit
自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方个性化扩展数据 | 个人开源 ,非TickFlow官方项目
Lightweight and extensible compatibility layer between dataframe libraries!
Python DataFrames as Interactive DataTables
Time series easier, faster, more fun. Pytimetk.
Geospatial extensions for Polars
Intuitive Data Workflows
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
Plotlars is a Rust library designed to facilitate the integration between the Polars data analysis library and Plotly library.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Unified MySQL, Postgres & FlightSQL Server, Powered by DuckDB.
Polars R bindings
Rust for data analysis encyclopedia (WIP).
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
Extremely fast quantitative factor cleaning and backtesting library, based on Polars
A fast excel reader for Rust and Python
Code and data for the Modern Polars book
Korean DART + SEC EDGAR filings as structured Python data for company analysis
SOFTWARE DEVELOPMENT, SAAS PRODUCTS, AND ONLINE TECHNOLOGY SERVICES.
Blazing-Fast Bioinformatic Operations on Python DataFrames
Oxbow makes genomic data ready for high-performance analytics.
codegen from expression to others, such as polars, pandas
One-click ML infrastructure for teams that just want to get sh*t done.
Run multiple LLM predictions against a data frame with R and Python
Zero-config entity resolution & record linkage. The zero-tuning Fellegi-Sunter path beats hand-tuned Splink head-to-head and scales from a CSV to a verified 100M-row dedupe in 9.2 min. Fuzzy/exact/probabilistic + PPRL + LLM + identity graph. Python + edge-safe TypeScript (WASM), SQL-native in Postgres & DuckDB, MCP/REST + dbt/Airflow.
A data science toolkit for the H3 geospatial grid
Code for blog at https://www.startdataengineering.com/post/python-for-de/
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Typed wrappers over pandas DataFrames with schema validation
Fast, minimal, and ergonomic zero-copy Apache Arrow tabular data implementation in Rust, with PyO3, Python bindings, shared-memory and low-latency SIMD for data-engineering and columnar workloads. Bridge to Polars and Arrow-rs over FFI effortlessly.
POC Go bindings library for Polars
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.
Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
Cookbook to provide solutions to common tasks and problems in using Polars with R
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
AI-powered backtesting framework for Claude Code - from idea to live trading in one workflow. 21 commands, 4 exchanges, macro data via MCP.
Awesome list of alternative dataframe libraries in Python.
Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
For when your data won't fit in your dataframe
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
Spark-free Python utilities for Microsoft Fabric focused on Data Engineering using Polars and delta-rs
A simple yet powerful SDK for the YouTube Analytics API.
PyIndicators is a powerful and user-friendly Python library for financial technical analysis indicators, metrics and helper functions for pandas and polars dataframes. Written entirely in Python, it requires no external dependencies, ensuring seamless integration and ease of use.
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.
Extremely lightweight compatibility layer between pandas and Polars
Compare DuckDB, Polars and Pandas for generating an artificial dataset of persons and companies
A data explorer app for Polars based on Tauri
Generate beautiful summary tables from pandas, polars or pyarrow dataframes
Data Engine for AI/Algo Trading: Download/Stream -> Clean -> Store. Supports Data Lakehouse Architecture. Clean Once and Forget.
Market data acquisition, storage, and update workflows for machine learning for trading.
A high-performance spatial query layer for Polars
A fast, keyboard-driven terminal explorer for tabular data. Open CSV, JSON, Parquet, Excel and SQLite files directly in your terminal — filter, sort, pivot, compute new columns, and visualise distributions without leaving the shell
A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Metabase, Dbt, Polars, Docker. Data from kaggle and youtube-api
A CSV data loader for TypeScript with an API similar to Polars and Pandas, written in pure Rust.