Make awesome display tables using Python
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Updated
Apr 16, 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. 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
Fork of https://github.com/jschaef/sar_file_analyzer. Replaced Pandas with Polars for most dataframes
Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB) with centralized rule configuration.
Download, filter and transform data from music review aggregator websites.
High-level BUFR interface for ecCodes using Polars
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