adizhol-gp's Stars
google/neuroglancer
WebGL-based viewer for volumetric data
seung-lab/igneous
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
marcomusy/vedo
A python module for scientific analysis of 3D data based on VTK and Numpy
K3D-tools/K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
seung-lab/kimimaro
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
theia-dev/Qiber3D
Automated quantification of fibrous networks