Make awesome display tables using Python
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Updated
Aug 8, 2025 - Python
Make awesome display tables using Python
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
Polars extension for fzf-style fuzzy matching
Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️
Building a poor man's data lake: Exploring the Power of Polars and Delta Lake
PyIndicators is a powerful and user-friendly Python library for 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.
Osiris is a Python library designed for efficient data conversion and management, primarily transforming data into Cairo programs
Python library providing a Polars DataFrame interface for easy and intuitive access to the Bloomberg API
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.
Fork of https://github.com/jschaef/sar_file_analyzer. Replaced Pandas with Polars for most dataframes
Download, filter and transform data from music review aggregator websites.
High-level BUFR interface for ecCodes using Polars
A Python script that processes Excel lead sheets from events, extracts key columns, groups by sponsor/booth, and generates individual Excel files for each sponsor.
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