JupyterHub
by Project Jupyter
Multi-user server for Jupyter notebooks; the REST API returns users, servers, groups, services and activity.
- Category
- Developer Tools
- Type
- Developer environments
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Users
- Servers
- Groups
- Services
- Activity
Join JupyterHub users with product usage and revenue to see what each release changed.
Need more? Name any other JupyterHub data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
JupyterHub uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Project Jupyter if you need help.
04How it works
How it works in DataMind.
-
Pick JupyterHub.
Open Lake, pick JupyterHub in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the JupyterHub API docs.
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Answer a few questions.
The AI reads the JupyterHub documentation, then asks which credentials you will use, which data to sync (for example users and servers), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then JupyterHub data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
