Following up on jupyterhub/binderhub#1017 (comment). In particular the comment about "reduce duplication".

A possible way to do that which I've seen in other projects is to add an endpoint to the backend from which the UI loads the config. We'd have an endpoint like binder.example.com/_config which returns a JSON which is then used to configure the dropdow

In runtime configurations, it would be helpful to import/export runtime configurations.
In addition, importing / exporting a list or selection of configurations would be a nice additional feature

Objective

Python 3.6 and above supports type hints and optional statically typing of Python code. Since its introduction is has seen a lot of adoption in many Python projects in particular in larger code bases. Type hints are completely optional and are stripped by the Python parser before runtime.

I am not the only one @plumerai anymore who li

It would be great if add_graph_from_json accepted either a dict or a str. If a str it should be interpreted as a path to a json file and the method should do something like:

import json
with open(json_file) as f:
    json_file = json.load(f)