kubespawner
configurable-http-proxy
| kubespawner | configurable-http-proxy | |
|---|---|---|
| 2 | 1 | |
| 523 | 230 | |
| 1.1% | 2.2% | |
| 8.6 | 7.6 | |
| 9 days ago | 10 days ago | |
| Python | JavaScript | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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kubespawner
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A new and simple way to manage Jupyter notebooks on Kubernetes
I think most JupyerHub features can be provided/replaced with Kubernetes', the rest are not needed by most users.- JupyterHub has a helm chart to deploy JupyterHub, but then JupyterHub takes over to create and manage notebooks. In the case of notebook-on-kube, we have a Helm Chart to deploy the tool but the tool itself uses Helm as a Kubernetes client to create and manage notebooks(the tool runs helm install to install the Notebook Helm Chart (inception :))), so no need of JupyterHub and especially its spawner https://github.com/jupyterhub/kubespawner (which is a Kubernetes client)
- It's not what programming languages do, it's what they shepherd you to
configurable-http-proxy
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A new and simple way to manage Jupyter notebooks on Kubernetes
- JupyterHub on Kubernetes uses ingress-nginx to expose JupyerHub on the Internet but the tool relies on the "well-integrated/well-known in the kubernetes ecosystem" ingress-nginx as a replacement of JupyterHub http proxy (node-http-proxy) https://github.com/jupyterhub/configurable-http-proxy to forward requests to notebooks e.g. so we don't have to add/discover/maintain yet another proxy.
What are some alternatives?
nbgrader - A system for assigning and grading notebooks
igv-jupyter - Extension for Jupyter which integrates igv.js
jupyterhub-deploy-docker - Reference deployment of JupyterHub with docker
notebook-on-kube - Create and manage your Notebooks on Kubernetes with ease.
Jupyter Notebook (IPython) - Multi-user server for Jupyter notebooks
kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
v-mode - 🌻 An Emacs major mode for the V programming language.
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
match - :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
zero-to-jupyterhub-k8s - Helm Chart & Documentation for deploying JupyterHub on Kubernetes