# google/neuroglancer

WebGL-based viewer for volumetric data

Repository: https://github.com/google/neuroglancer
Canonical: https://ross.abutalabs.com/products/neuroglancer
Homepage: https://neuroglancer-docs.web.app
Language: TypeScript
License: Apache-2.0
License Family: permissive
Last push: 2026-08-25T20:26:22+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3751, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1355, forks 378 (observed 2026-08-28T04:04:29.216998+00:00)

## What it is
Neuroglancer is a WebGL-based, client-side web application for visualizing large 3-D volumetric datasets, supporting arbitrary cross-sectional views, 3-D meshes, and skeleton models. It supports many data formats (precomputed, Zarr, N5, NIfTI, etc.) and offers a Python API for embedding and programmatic control.

## Use cases
- visualize large 3d volumetric microscopy data in a browser
- view connectomics segmentation layers with cross-sections
- inspect zarr or n5 datasets interactively
- embed a volume viewer in a python notebook
- explore 3d meshes and skeletons alongside volume data

## When to choose
- you need fast, GPU-accelerated viewing of very large volumetric datasets over HTTP
- you work in connectomics, microscopy, or medical imaging and need multi-layer segmentation overlays
- you want a client-side viewer with a Python API for programmatic control

## When to avoid
- you need a desktop application with offline file access rather than HTTP-served data
- your data is small and a simpler plotting library would suffice
- you require browsers older than Chrome 51/Firefox 46/Safari 15

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, image-processing, graphics, web-scraping
- domain: data-visualization, bioinformatics, computer-vision, web-development
- platform: browser, python
- tags: webgl, volumetric-data, connectomics, microscopy, 3d-viewer, scientific-visualization, zarr, nifti, web-server, typescript

## Member repositories
- google/neuroglancer (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.216998+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:41:57.995980+00:00, confidence not recorded.
  - readme: https://github.com/google/neuroglancer (fetched 2026-08-28T04:04:29.216998+00:00, sha a4c63901397a)
  - homepage: https://neuroglancer-docs.web.app (fetched 2026-08-29T12:00:37.045333+00:00, sha b7477f13527c)
  - registry_npm: https://registry.npmjs.org/neuroglancer (fetched 2026-08-29T12:00:37.054113+00:00, sha 29d270b84254)
- Data as of 2026-08-30T08:39:29.467469+00:00.