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.
🦦 Pandas-style DataFrame library for Go — fluent API for filtering, grouping, sorting, and statistical analysis with type-safe operations and zero-copy typed slice access.
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.
A fast, powerful, and flexible way to get up to date COVID-19 data for any major city, state, country, and total world wide data, with just one line of code