Documentation
Install Brightfield, render your first crosswalk, then go deeper — open datasets and the tools that build them.
One command, one binary — no server, no webview, no account:
curl -fsSL https://install.meridian.online/brightfield | bashPrefer Homebrew? brew install meridian-online/tap/brightfield.
That installs Brightfield, Meridian's native macOS app: chart specs and protocol graphs, rendered on your GPU. It's early access — v0.1.0, macOS only, Apple silicon and Intel — and the docs are plain about what works today and what doesn't yet.
Your first five minutes
Run brightfield and the window opens on a gallery of starting points that
ship inside the binary. Open the EDGAR ↔ GLEIF crosswalk and a real ten-source
protocol draws as a lineage graph — then come back Home whenever you like. The
quick start walks it step by step.
No Mac, or nothing to install? The same crosswalk is queryable in your browser at /datasets/edgar_gleif.
The app and the data
Meridian is an open data commons for analysts: selected public datasets you can search and query in the browser, the app that renders them, and the open-source tools every dataset is built with.
Brightfield
The native macOS app — chart specs and protocol graphs rendered on your GPU. Early access, honestly labelled.
Datasets
Open reference data — browse it in the explorer, query it with SQL, take it anywhere with one ATTACH line.
The toolchain
The datasets and the tools are one project: type every column, verify every relationship, make every pipeline reproducible.
Finetype
Semantic type inference for messy data — 251 types across 65+ locales, pure Rust, with a DuckDB extension.
Dovetail
Discovers how unfamiliar data loads and how tables relate — then compiles it to runnable SQL.
Arcform
Local-first, asset-aware data pipelines: YAML steps, DuckDB engine, one Rust binary.