jupyter-resource-usage icon indicating copy to clipboard operation
jupyter-resource-usage copied to clipboard

Jupyter Notebook Extension for monitoring your own Resource Usage

Results 70 jupyter-resource-usage issues
Sort by recently updated
recently updated
newest added

The memory is not correct if multi process sharing memory. I think we should use pss of [memory_full_info](https://psutil.readthedocs.io/en/latest/#psutil.Process.memory_full_info), thanks!

enhancement
help wanted

I was just wondering if this is possible. Also I wanted to say this extension is awesome thank you.

enhancement
help wanted

Let's keep discussions on what to do next with `nbresuse` in this meta issue. ---- - [x] Restore the `/metrics` endpoint to keep backward compatibility for the `0.3.x` releases: #45...

Hello, I installed plugin jupyter-resource-usage on a jupyterhub. the jupyterhub is deployed via helm chart on kubernetes cluster. When a request is sent to /api/metrics/v1 the response is {"rss": 112574464,...

bug

### Problem As documented in the README, memory usage only includes RSS. But it would be very helpful for swap space used by Jupyter kernels to be included in this...

enhancement

now ```python if config.track_cpu_percent: cpu_count = psutil.cpu_count() cpu_percent = await self._get_cpu_percent(all_processes) if config.cpu_limit != 0: limits["cpu"] = {"cpu": config.cpu_limit} if config.cpu_warning_threshold != 0: limits["cpu"]["warn"] = (config.cpu_limit - cpu_percent) < (...

bug

Installed nbresuse as per following steps ; > pip install nbresuse > jupyter serverextension enable --py nbresuse --sys-prefix > jupyter nbextension install --py nbresuse --sys-prefix > jupyter nbextension enable --py...

Installing nbresuse with conda for jupyterlab 2.2.9, I get following error at cpu_limit or memlimit when I use like this: ``` docker run --name ${NAME}_cont \ --cpus=$CONTAINER_CPU_PER --cpuset-cpus=$CONTAINER_CPU_ARRAY \ --memory=${CONTAINER_MEM}...

``` jupyter 1.0.0 jupyter-client 6.1.11 jupyter-console 6.0.0 jupyter-contrib-core 0.3.3 jupyter-contrib-nbextensions 0.5.1 jupyter-core 4.7.0 jupyter-nbextensions-configurator 0.4.1 jupyter-resource-usage 0.5.1 jupyter-server 1.2.2 jupyterlab 3.0.5 jupyterlab-server 2.1.2 jupyterlab-system-monitor 0.7.0 jupyterlab-topbar 0.6.0 nbresuse 0.4.0 ```...

Returns the correct memory & cpu values when nbresuse running in a docker or pod environment