The jupyterhub-singleuser
conda package is an empty metapackage for convenience to represent the standard required packages to run a single-user server: jupyterhub-base
and jupyterlab
. It is not required on its own, and can always be replaced by those two dependencies (or indeed alternatives to jupyterlab
, like nbclassic
or retrolab
). So as long as you have jupyterhub
and any jupyter-server
-based server in the image, you should be all set. But if you’re not sure what you need, then jupyterhub-singleuser
is a good start. That’s what it’s there for.
The Python package jupyterhub
contains the code for the jupyterhub Hub and the authentication for single-user servers. It does not include the single-user server itself, which can be provided by jupyterlab
, notebook
, jupyter-server
, etc. Similarly, it does not include a proxy implementation, required to actually run jupyterhub. Since conda can represent cross-language dependencies, jupyterhub is presented as 3 packages:
-
jupyterhub-base
(just the Python package) -
jupyterhub
metapackage addingconfigurable-http-proxy
dependency, so thatconda install jupyterhub
results in a working jupyterhub server -
jupyterhub-singleuser
metapackage addingjupyterlab
so you have what you need to run a single-user server
But jupyterhub-base
is the only non-empty package, and is identical to pip install jupyterhub
. The rest are dependency bundles for convenience.