jupyter-resource-usage
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Jupyter Notebook Extension for monitoring your own Resource Usage
Hi there, I have a question and a suggestion. Question: how can I change the memory unit shown in the status bar? Now I have 1028096.00 MB I would like...
We extended j-r-u for monitoring disk usage in $HOME for our service. Looks like at least one other person was interested in something similar: https://github.com/jupyter-server/jupyter-resource-usage/issues/186
When jupyterlab-sidecar (https://github.com/jupyter-widgets/jupyterlab-sidecar) is installed the sidebar widget is currently displayed with an "x":  Clicking this "x" does not do anything at all:  This PR...
When resource monitor was freshly installed and side panels were not used (i.e. debugger was not used for a fresh jupyterlab installation), clicking the 'tachymeter' doesn't open the panel. You...
## Description Memory Usage is not working in my environment ## Reproduce  The memory usage is not working and won't update when I...
This PR updates the readme file and add the information about the custom configuration feature to show or hide the information in sidebar or tachometer showing Kernel and host usage...
### Problem To show the kernel usage in the sidebar after clicking the tachometer, ipykernel package version should be >=6.11.0 When it is not the required version, we get "kernel...
## Description When switching sidebar side of kernel usage panel it does not show the usage information until we switch notebook/main area widget. Edit: also happens when opening the sidebar...
### Problem It seems like [`PrometheusHandler`](https://github.com/jupyter-server/jupyter-resource-usage/blob/main/jupyter_resource_usage/prometheus.py) is consuming CPU even when there is no activity. More discussion in [discourse thread](https://discourse.jupyter.org/t/jupyterhub-singleuser-consuming-significant-and-constant-cpu/21415/9). We are setting up a [PeriodicCallback](https://github.com/jupyter-server/jupyter-resource-usage/blob/2cfdb6445dc3473f3ca5a5d894e09f2baff69bec/jupyter_resource_usage/server_extension.py#L35-L38) for this handler which...