JupyterHub usage#
This displays the usage of our cloud infrastructure to give an understanding of our infrastructure setup and the communities that use it.
Last updated: Apr 27, 2024
Data source
This data is pulled from these two sources:
The list of our hubs and clusters is pulled from our
infrastructure/repository.The active users data stream produced by JupyterHub and exposed at
metrics/. See this PR for the feature.
Load and munge data#
Number of hubs#
31
90
Number of hubs per cluster#
excluding staging hubs
| cluster | cloudbank | 2i2c | catalystproject-africa | 2i2c-aws-us | catalystproject-latam | hhmi | pangeo-hubs | utoronto | smithsonian | qcl | ... | kitware | jupyter-meets-the-earth | jupyter-health | gridsst | earthscope | dandi | bican | awi-ciroh | 2i2c-uk | victor |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Number of hubs | 35 | 9 | 9 | 5 | 3 | 2 | 2 | 2 | 1 | 1 | ... | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
1 rows × 31 columns
Types of hubs#
| Number of hubs | Weekly users | |
|---|---|---|
| Chart type | ||
| Basic | 71 | 2054 |
| Dask Gateway | 19 | 195 |
Active users#
Total active users#
Total active users across all of our hubs and communities.
5984
2249
817
Active users by hub#
Active users broken down by each hub that we run. We break our hubs into two groups as some hubs have orders of magnitude more users than others.
Count hubs by community size#
Total number of users binned by community size#
Tells us the percentage of our userbase that comes from different community sizes.
Map of hubs#
Below is a visualization that represents the hubs