Sign inSign up

mingruixia/brainnet-viewer

By mingruixia

โ€ขUpdated 4 days ago

BrainNet Viewer: brain surfaces, networks and volumetric maps in your browser.

Image
0

642

mingruixia/brainnet-viewer repository overview

โ BrainNet Viewer

BrainNet Viewer visualizes brain surfaces, networks, volumetric maps and atlas regions. This image provides the Docker/Web edition, accessed through a browser on port 1031.

Download the Web installation packageโ  for the supplied PowerShell/POSIX launchers, Compose files and local or Linux LAN installation guides. The launchers handle resource limits and GPU selection. Rendering automatically falls back to CPU when GPU rendering is unavailable.

โ Local use

For a minimal CPU setup:

docker run --rm --name brainnet-viewer-local --cpus 1 --memory 8g -p 127.0.0.1:1031:1031 -e BNV_RENDER_BACKEND=cpu mingruixia/brainnet-viewer:2.0.0

Open http://127.0.0.1:1031/index.htmlโ . Stop the container before reusing the same name or port. The installation package provides the recommended managed launch and Compose workflows.

โ Linux LAN deployment

Use the supplied server Compose file and server deployment guide. LAN deployment requires HTTPS, authentication and server resource configuration. Each browser session receives an isolated application process. Do not expose the local single-workspace mode directly to the LAN or Internet.

โ Tags and compatibility

2.0.0 identifies this release. Select the versioned tag when reproducibility matters. AMD64 and ARM64 images are provided; ARM64 installation and application contents have been checked, but native ARM64 container graphics validation remains incomplete. GPU access in a container does not itself confirm hardware rendering; consult the backend status and installation guide.

Figure export downloads the image and JSON sidecar separately. Scene downloads use ZIP. Persist required outputs outside the container before removing it.

Source and documentationโ  ยท NITRCโ 

GPL-3.0-or-later applies to the software. Bundled data and other resources retain their own notices. Cite Xia M, Wang J, He Y (2013), PLoS ONE 8: e68910, https://doi.org/10.1371/journal.pone.0068910โ .

Tag summary

Content type

Image

Digest

sha256:221195f71โ€ฆ

Size

832.2 MB

Last updated

6 days ago

docker pull mingruixia/brainnet-viewer