ContainDS Dashboards extension for JupyterHub
Project description
ContainDS Dashboards for JupyterHub
A Dashboard publishing solution for Data Science teams to share results with decision makers.
Run a private on-premise or cloud-based JupyterHub with extensions to instantly publish Jupyter notebooks or Streamlit apps as user-friendly interactive dashboards to share with non-technical colleagues.
This open source package allows users to create interactive Jupyter notebooks that can be instantly and reliably published as secure interactive Voila web apps.
Any authorised JupyterHub user can view the dashboard.
See full documentation.
How it works
- Data scientist creates a Jupyter Notebook as normal or uploads Streamlit Python files
- Data scientist creates a new Dashboard to clone their Jupyter server
- Other logged-in JupyterHub users see the dashboard in their list
- Click to launch as a server, using OAuth to gain access
- User sees a safe user-friendly Voila version of the original notebook
All of this works through a new Dashboards menu item added to JupyterHub's header.
Data scientist creates a Jupyter Notebook as normal
Data scientist creates a new Dashboard to clone their Jupyter server
Other logged-in JupyterHub users see the dashboard in their list
Click to launch as a server
Uses OAuth to gain access
Other user sees a safe user-friendly Voila version of the original notebook
Or a Streamlit app
Requirements
Basic requirements:
- JupyterHub 1.0+
- Python 3.6+
You should be able to use any authenticator for users to login - for example, corporate Google email sign in, or LDAP.
Your JupyterHub will ideally be using LocalProcessSpawner (the default for standard installs), SystemdSpawner (default for The Littlest JupyterHub), or DockerSpawner.
Support for Kubernetes JupyterHub installations running KubeSpawner is in development - please get in touch with your requirements to help move this forward.
Installation
Full Setup and Installation details are in the documentation.
Contact and Support
This software is an alpha version. Please see LICENSE for details.
Please do get in touch if you try out the package, or would like to but need some support. I would be very interested to find out how it can be used, and to work (without charge) to help you get it running. The project needs feedback in order to develop further!
For more background on this project and our related ContainDS Desktop product, please see our website: containds.com.
Contact support@containds.com with any comments or questions at all. Thank you.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for cdsdashboards-0.0.16-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9332bc1c37ff2129e3f84b8b3eb2ce03d5a3d7b069e55ee8bed99b6113c28064 |
|
MD5 | 9d4c28915252037c234284d09403bee4 |
|
BLAKE2b-256 | 05108e8da4d9e816682fc0e38d2a5850372c87e4d4db51d953906141524584fb |