Get a quick, tabular summary of running Jupyter servers and kernels. Especially useful as a status board when embedded in your desktop using GeekTool, Ubersicht, Conky, or the like.
Blog post: Announcing jupyter-status
Here I have three jupyter lab servers running on my machine, each with a few notebooks or consoles open:
localhost:8888 /Users/bagrow/projects/research-project-01/notebooks
Name Type Kernel Last active Status
------------------------------ -------- ------------------- ---------------- --------
Console 1 console research-project-01 2020-08-19 22:28 idle
Console 2 console research-project-01 2020-08-19 22:28 idle
01-jpb-explore-data.ipynb notebook research-project-01 2020-08-19 22:28 idle
jpb-log_2020-08-19.ipynb notebook research-project-01 2020-08-19 22:28 idle
localhost:8889 /Users/bagrow/projects/cool-science-playground/notebooks
Name Type Kernel Last active Status
----------------------- -------- ------------------------- ---------------- --------
Console 1 console cool-science-playground 2020-08-19 22:28 idle
localhost:8890 /Users/bagrow/projects/research-project-02/notebooks
Name Type Kernel Last active Status
------------------------------- -------- ------------------- ---------------- --------
Console 1 console research-project-02 2020-08-16 16:17 idle
01.0-jpb-explore-data.ipynb notebook research-project-02 2020-08-16 16:18 idle
02.0-jpb-big-simulation.ipynb notebook research-project-02 2020-08-19 22:28 running
jpb-log_2020-08-15.ipynb notebook research-project-02 2020-08-16 16:17 idle
I find kernel names are helpful when using per-project environments (in my case, with Anaconda).
From the command-line, run:
jupyter-status
Or maybe you want an HTML table:
jupyter-status -f html
Arguments to -f are passed to tabulate's tablefmt option.
See jupyter-status -h for full details.
Install with pip:
pip install jupyter-status