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nbresuse component for jupyterlab status bar #8
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+1, that sounds great! I won't have the cycles to do this, however. Feel free to start a PR! I can also give you merge rights here. |
@richagadgil would love this feature. wish I knew how to add it. |
@jtpio whoa! awesome. thanks! would you mind pinging this thread when it does (or when I'm able to pull a branch to test it out?) |
@mathematicalmichael you can setup a dev environment by following these instructions, and try it on master: https://github.com/jupyterlab/jupyterlab/blob/master/CONTRIBUTING.md#setting-up-a-development-environment And install nbresuse in the same environment: |
@jtpio oh that was rather painless. Thanks for pointing me to the right spot in the docs! Had never opened the contributing one because I'm not a JS dev. Silly me... Very neat, though not what I quite expected. Do you happen to know if it remain on bottom there? Seems to be an inefficient use of space given that it could all fit in the same row as File/Edit/etc |
@mathematicalmichael glad you got it setup! I don't know of any plans to move it somewhere else, but the best might be to open an issue to raise this question (https://github.com/jupyterlab/jupyterlab/issues), or ask on gitter (https://gitter.im/jupyterlab/jupyterlab). An alternative would be to implement a third-party JupyterLab extension and experiment with different positioning. |
@mathematicalmichael this made me want to experiment a little bit over the past few days with a "top bar" extension for JupyterLab. Here is the repo: https://github.com/jtpio/jupyterlab-topbar. You can actually install it, or try it out with Binder. The idea is to indeed expose the space next to the menu so the other extensions can use it. |
@jtpio you're amazing. I love your TODO list as well. As I didn't really need the other features in the bottom-bar, this is a great solution for the time being! |
Just tried installing nbresuse and the memory usage just showed up in the bottom status bar, so I think we can close this issue 👍 |
@thoralf-gutierrez Yes I believe you're right, @richagadgil implemented this and it was merged into JupyterLab master. It works for me as well. I will close this issue now at least provisionally. |
Do you guys know if this is still supposed to be working? I'm on Jupyterlab 2.1.4 and have installed nbresuse in the same environment but I don't see a memory indicator in the bottom status bar? |
Ahh looks like it works with nbresuse 0.3.3 but not yet 0.3.4. |
Yes it's tracked in #36. |
* initial commit * add Makefile * refactor react state * add a timer with react hook to ensure the panel is refreshed - fixes Quansight/jupyterlab-kernel-usage#6 * panel content for #4 and #7 * new icon fixes #3 * ensure minimal ipykernel version - fixes #8 * format cpu to 1 decimal - fixes #2 * better format the memory numbers - fixes #1 * bump version to 0.2.0 * better format for the memory * bump versoin to 0.3.0 * update preview image * lint * tune the panel layout * show a message is kernel usage is not available * Add PID * readme: add ipykernel requirement - closes #8 * release: 0.4.0 * remove old kernel poll * don't throw timeout exception * remove logging * Pool only the active kernel and if the sidebar is visible * lint * polish the ui and add cpu_count * release: 0.5.0 * Fix issues related to fronted querying too often. There were three issues: - the `notebookTracker.currentChanged` signal was being connected on each re-render of React widget and re-renders were triggered by update to state that was defined in the callback leading to O(n^2) accumulation of callbacks. - the `kernelChanged` signal was being connected on each change of the notebook leading to O(n) accumulation of callbacks. - the sidebar panel could have been created multiple times if invoked from command palette - O(1) accumulation of callbacks. * Limit the backend timeout to 1+2+3=6 seconds total * Clear kernel ID if disposed * Merge jupyterlab-kernel-usage * Add ipykernel dependency * Update README * Pin ipykernel>=6.11.0 * Remove jupyterlab-kernel-usage * Include changes from Quansight/jupyterlab-kernel-usage#24 * Lint * Remove @jupyterlab/launcher dependency Co-authored-by: Michał Krassowski <5832902+krassowski@users.noreply.github.com> * Review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Eric Charles <eric@datalayer.io> Co-authored-by: krassowski <5832902+krassowski@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
The Jupyterlab status bar aims to show all relevant states of the notebook -- showing the current memory usage would be an asset. It would be great to integrate this into the status bar.
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