Show HN: Grizzlars – High Performance DataFrame to Compete with Polars

Category: library

Tags: dataframe, c-plus-plus, python, high-performance, data-analysis

Score: 5.5/10 (Innovation: 5, Technical: 6, Documentation: 7, Utility: 4)

Grizzlars is a Python DataFrame library backed by a multithreaded C++ engine, aiming to offer high performance with lower memory usage compared to Polars. It provides a familiar pandas-like API with lazy filtering, parallel operations, and features like groupby, join, and window functions. The project is interesting for its C++ core and memory efficiency claims but is very early-stage with few stars and limited community adoption.

Target audience: data engineers

Repository: https://github.com/NavodPeiris/grizzlars · C++ · MIT · 3 stars

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