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.

Create 3D plots using Jupyter Notebook and K3D

The jupyter-k3d-notebook stack of ready-to-run "Jupyter Notebook with K3D" application in Docker

Test repo for running jupyterhub and the tljh-repo2docker plugin on a k3d kubernetes cluster.

The scipy-k3d-notebook stack of ready-to-run "Jupyter Notebook Scientific Python with K3D" application in Docker

A Sphinx extension to generate and include a screenshot of a K3D Jupyter plot into a documentation

Este projeto configura um ambiente de Pipeline de Dados para desenvolvimento local que simula serviços da AWS, incluindo S3, EKS, Apache Kafka, Apache Airflow, PostgreSQL, PGVector, Metabase e Jupyter Labs. Todos rodando sobre um cluster Kubernetes com k3d local simulando um cluster ASW EKS.