Write your data once. Render it anywhere. 16 output formats across tables, trees, and diagrams, plus NOM-style real-time progress visualization. Zero heavy deps in root.
A lightweight, interactive viewer for 1-D signals, 2-D images and 3D. Backed by anywidget and a pure-JavaScript canvas renderer. Written for use in python and jupyter with (roughly) matplotlib syntax.
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.
Interactive wafer map visualization and yield analysis for semiconductor test data. Rendering, spatial statistics, failure clustering, lot-level trends, and reticle analysis — pure ES modules, no dependencies.
Interactive question boards & HTML idea visualization for AI coding agents (Claude Code, Codex, …) — ask users structured questions in the browser, await submit, get JSON. Zero deps.