https://github.com/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.
https://github.com/K3D-tools/K3D-jupyter

3d jupyter visualization

Last synced: 25 days ago
JSON representation

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.

• Host: GitHub
• URL: https://github.com/K3D-tools/K3D-jupyter
• Owner: K3D-tools
• License: mit
• Created: 2015-10-16T10:14:20.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2024-01-06T14:30:50.000Z (6 months ago)
• Last Synced: 2024-05-27T12:40:43.341Z (28 days ago)
• Topics: 3d, jupyter, visualization
• Language: Python
• Homepage:
• Size: 553 MB
• Stars: 911
• Watchers: 25
• Forks: 123
• Open Issues: 20
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Lists

• awesome_piv - K3D-tools / K3D-jupyter - level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). ![python] ![javascript] (8. Visualization)
• my-awesome-stars - 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. (Python)
• awesome-starred - 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 (3d)
• awesome-stars - 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 (Python)
• awesome-jupyter-widgets - K3D-jupyter - 3D plotting using WebGL (Interactive Widgets / Interactive Jupyter Widget Ecosystem)
• awesome-stars - K3D-jupyter - 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. | K3D-tools | 533 | (Python)
• awesome-fluid-dynamics - 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).   [](https://github.com/K3D-tools/K3D-jupyter/search?l=jupyter-notebook) (Visualization / 3D Visualization)