https://github.com/datalayer/jupyter-manager

🪐 🎛️ User interface to manage your Jupyter platform.
https://github.com/datalayer/jupyter-manager

control devops jupyter manager mlops

Last synced: 9 months ago
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🪐 🎛️ User interface to manage your Jupyter platform.

• Host: GitHub
• URL: https://github.com/datalayer/jupyter-manager
• Owner: datalayer
• License: other
• Created: 2023-04-14T12:06:32.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-30T10:29:53.000Z (about 1 year ago)
• Last Synced: 2025-04-24T05:49:13.295Z (10 months ago)
• Topics: control, devops, jupyter, manager, mlops
• Language: TypeScript
• Homepage: https://jupyter-manager.datalayer.tech
• Size: 327 KB
• Stars: 14
• Watchers: 2
• Forks: 2
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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# 🪐 🎛️ Jupyter Manager

> User interface to manage your Jupyter platform.

Jupyter Manager is a user interface to manage the Jupyter platform in a more visual way instead of relying to shell script of configuration files.

You can easily `configure`, `monitor` and `operate` your Jupyter platform.



  



## Deployments

`Jupyter Manager` can be deployed:

- As a JupyterLab extension, in that case it allows you the manage the local extensions deployed on that Jupyter Server instance.

- As a service on any JupyterHub, in that case it uses the JupyterHub REST API (see the [Swagger definition](http://petstore.swagger.io?url=https://raw.githubusercontent.com/jupyterhub/jupyterhub/main/docs/source/_static/rest-api.yml#/default)).

## Contribute

[Setup your environment](https://jupyter-manager.datalayer.tech/docs/welcome/develop) and start developing.

In case of question or trouble, engage via [issues](https://github.com/datalayer/jupyter-manager/issues) or [pull requests](https://github.com/datalayer/jupyter-manager/pulls).