Coda — connectome data analysis in the browser

A node-graph editor for querying and analysing connectomic data. Wire up the steps — query, traverse, filter, aggregate, plot — and each one shows its result where it sits. No install and no notebook.

Coda reads neuPrint (hemibrain, MANC, optic-lobe, male-CNS), CAVE (FlyWire, MICrONS), CATMAID, precomputed Neuroglancer sources and your own CSV or Parquet files. Results export as CSV, SWC, images and Neuroglancer links, or as a Python or R script that runs the same pipeline locally.

Coda needs JavaScript and WebGL. These pages do not:

Feature overview — what Coda is, in one scroll.
Field guide — a ten-minute introduction that builds a real pipeline.
Node guide — every node, what it takes and what it hands on.
MCP server — build a Coda workflow from Claude, ChatGPT or any MCP client.
Source on GitHub — MIT licensed.