
Daisy-DAG: A YAML-Powered Engine for Complex Workflow Automation
A YAML-driven workflow engine for executing and visualizing complex Directed Acyclic Graphs with support for parallel tasks and retries.
Charts, graphs, treemaps, dashboards, and other visual representations of data — including tools, techniques, and best practices for making complex information visually accessible.

A YAML-driven workflow engine for executing and visualizing complex Directed Acyclic Graphs with support for parallel tasks and retries.

A visual, data-centric exploration of where artificial intelligence is headed by the year 2026.

Claude now generates interactive in-line visualizations and diagrams to help users better understand complex topics in real-time.

An interactive browser-based tool for visualizing, debugging, and experimenting with Web Audio API signal chains in real time.
A real-time treemap shows the size and performance of large-cap US tech stocks across multiple timeframes.

Alden uses TouchDesigner to turn weather data into a single painterly stroke, proving abstract generative art can communicate complex information clearly and beautifully.
An interactive database that connects chord progressions and song theory to real tracks, making music analysis searchable, visual, and hands-on.
A color-coded, piano-roll guide lets you learn and see Western harmony—no standard notation required—starting with simple triads and applied to 100 well-known pieces.

A browsable, open-source visual tool to explore how named color palettes distribute across many color spaces and datasets.

A HuBERT model’s 3D latent map of English accents clusters by geography and social history more than by language-family taxonomy, offering an exploratory—but not definitive—view of accent relationships.

Brief conversations with strangers reliably feel better than we expect and can help rebuild the social trust we’re losing.