Schema viz

@dreamlake/viz/schema-viz renders a dataset as a synchronized, multi-panel visualization from a small schema. You describe what you want to look at; it fetches lazily and draws — videos, charts, and timelines that scrub together.

Quick start

Hand <DatasetPreview> a parsed schema. This one points the built-in http storage at a public LeRobot dataset and omits panels — so viz auto-lays-out the whole episode: a camera stack, a task timeline, and one chart per numeric field. The entire program:

A schema has two parts:

• sources — each names an adapter (what format the data is) and its storage (where the bytes live).
• panels — each is a view (videoStack, lineChart, timeline) over some fields. Omit panels and viz auto-lays-out the dataset.

That is the entire surface area. Everything else is choosing the right adapter, storage, and views — and, when you need it, writing your own.

How to read these docs

1. Schema — write a schema: sources, panels, field binding, and the auto-layout you get when you omit panels.
2. Storage — point at the bytes: the public http driver, and how a host app injects an authorized driver for private data.
3. Adapters — which adapter for which dataset (LeRobot, Zarr/UMI, egocentric, loose folders), or write your own. Start here if you just want to point at a dataset.
4. Views — the built-in panels, their options, writing your own panel, and how auto-layout works.
5. Concept — a short read on why it is built in four layers. Skip it until you are curious.