Scientific computing platform on NumPy/SciPy/pandas/matplotlib: linear algebra, stats, optimization, signals, ML, information theory, chaos, Bayes, metaheuristics, geometry and RL.
Ferrum is a statistical visualization library for Python: a grammar-first charting system that unifies exploratory plots, statistical graphics, interactive views, and model diagnostics, backed by a Rust engine. Built in 10 days by one human and an agentic Claude framework.
A fast, dependency-light plotting library that renders one figure to SVG, PNG, PDF, Vega/Vega-Lite, and self-contained interactive HTML (with a full pan/zoom, point-picking, and annotation toolbar) through a matplotlib-shaped API — no global state, no compiled extension