Leda is our Legacy Jupyterhub.
This machine is meant for accessing notebooks that may not be directly compatible with the Data Science container on Europa.
Leda uses a single virtual machine that with a moderate amount of resources to allow for legacy notebook access. This machine is not intended for active courses.
Base Resource Limits:
- 1 core
- 4 GB RAM
- 1 GB SWAP
- 95 GB Shared Storage
Note: There is a Docker container under development to users to be able to run legacy notebooks on their local machines.
URL: https://leda.dsa.missouri.edu
Maintenance Cycle: Wednesdays from 8:00 AM to 12:00 PM
