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https://github.com/jupyterhub/kubespawner

Kubernetes spawner for JupyterHub
https://github.com/jupyterhub/kubespawner

jupyter jupyterhub jupyterhub-kubernetes-spawner kubernetes-cluster spawner

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Kubernetes spawner for JupyterHub

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# [kubespawner](https://github.com/jupyterhub/kubespawner) (jupyterhub-kubespawner @ PyPI)



[![Latest PyPI version](https://img.shields.io/pypi/v/jupyterhub-kubespawner?logo=pypi)](https://pypi.python.org/pypi/jupyterhub-kubespawner)

[![Latest conda-forge version](https://img.shields.io/conda/vn/conda-forge/jupyterhub-kubespawner?logo=conda-forge)](https://anaconda.org/conda-forge/jupyterhub-kubespawner)

[![Documentation status](https://img.shields.io/readthedocs/jupyterhub-kubespawner?logo=read-the-docs)](https://jupyterhub-kubespawner.readthedocs.io/en/latest/?badge=latest)

[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/jupyterhub/kubespawner/test.yaml?logo=github&label=tests)](https://github.com/jupyterhub/kubespawner/actions)

[![Code coverage](https://codecov.io/gh/jupyterhub/kubespawner/branch/main/graph/badge.svg)](https://codecov.io/gh/jupyterhub/kubespawner)



The _kubespawner_ (also known as the JupyterHub Kubernetes Spawner) enables JupyterHub to spawn

single-user notebook servers on a [Kubernetes](https://kubernetes.io/)

cluster.



See the [KubeSpawner documentation](https://jupyterhub-kubespawner.readthedocs.io) for more

information about features and usage. In particular, here is [a list of all the spawner options](https://jupyterhub-kubespawner.readthedocs.io/en/latest/spawner.html#module-kubespawner.spawner).



## Features



Kubernetes is an open-source system for automating deployment, scaling, and

management of containerized applications. If you want to run a JupyterHub

setup that needs to scale across multiple nodes (anything with over ~50

simultaneous users), Kubernetes is a wonderful way to do it. Features include:



- Easily and elasticly run anywhere between 2 and thousands of nodes with the

  same set of powerful abstractions. Scale up and down as required by simply

  adding or removing nodes.



- Run JupyterHub itself inside Kubernetes easily. This allows you to manage

  many JupyterHub deployments with only Kubernetes, without requiring an extra

  layer of Ansible / Puppet / Bash scripts. This also provides easy integrated

  monitoring and failover for the hub process itself.



- Spawn multiple hubs in the same kubernetes cluster, with support for

  [namespaces](https://kubernetes.io/docs/admin/namespaces/). You can limit the

  amount of resources each namespace can use, effectively limiting the amount

  of resources a single JupyterHub (and its users) can use. This allows

  organizations to easily maintain multiple JupyterHubs with just one

  kubernetes cluster, allowing for easy maintenance & high resource

  utilization.



- Provide guarantees and limits on the amount of resources (CPU / RAM) that

  single-user notebooks can use. Kubernetes has comprehensive [resource control](https://kubernetes.io/docs/user-guide/compute-resources/) that can

  be used from the spawner.



- Mount various types of [persistent volumes](https://kubernetes.io/docs/user-guide/persistent-volumes/)

  onto the single-user notebook's container.



- Control various security parameters (such as userid/groupid, SELinux, etc)

  via flexible [Pod Security Policies](https://kubernetes.io/docs/user-guide/pod-security-policy/).



- Run easily in multiple clouds (or on your own machines). Helps avoid vendor

  lock-in. You can even spread out your cluster across

  [multiple clouds at the same time](https://kubernetes.io/docs/user-guide/federation/).



In general, Kubernetes provides a ton of well thought out, useful features -

and you can use all of them along with this spawner.



## Requirements



### JupyterHub



Requires JupyterHub 4.0+



### Kubernetes



Everything should work from Kubernetes v1.24+.



The [Kube DNS addon](https://kubernetes.io/docs/user-guide/connecting-applications/#dns)

is not strictly required - the spawner uses

[environment variable](https://kubernetes.io/docs/user-guide/connecting-applications/#environment-variables)

based discovery instead. Your kubernetes cluster will need to be configured to

support the types of volumes you want to use.



If you are just getting started and want a kubernetes cluster to play with,

[Google Container Engine](https://cloud.google.com/container-engine/) is

probably the nicest option. For AWS/Azure,

[kops](https://github.com/kubernetes/kops) is probably the way to go.



## Getting help



We encourage you to ask questions on the

[Jupyter mailing list](https://groups.google.com/forum/#!forum/jupyter).

You can also participate in development discussions or get live help on

[Gitter](https://gitter.im/jupyterhub/jupyterhub).



## License



We use a shared copyright model that enables all contributors to maintain the

copyright on their contributions.



All code is licensed under the terms of the revised BSD license.



## Resources



#### JupyterHub and kubespawner



- [Reporting Issues](https://github.com/jupyterhub/kubespawner/issues)

- [Documentation for JupyterHub](https://jupyterhub.readthedocs.io)

- [Documentation for JupyterHub's REST API](https://petstore.swagger.io/?url=https://raw.githubusercontent.com/jupyter/jupyterhub/master/docs/rest-api.yml#/default)



#### Jupyter



- [Documentation for Project Jupyter](https://jupyter.readthedocs.io/en/latest/index.html) | [PDF](https://media.readthedocs.org/pdf/jupyter/latest/jupyter.pdf)

- [Project Jupyter website](https://jupyter.org)