Comments (12)
Hi,
I can confirm that the latest changes did solve the issue on my side described in #106 for refernce see the docker image https://github.com/ptr33/Jupyterlab/tree/jupyter-dash
To see this fixed, start it by using
docker run --rm -it -p 8888:8888 ghcr.io/ptr33/jupyterlab:jupyter-dash
and open http://localhost:8888/jupyter
The latest released version (ghcr.io/ptr33/jupyterlab) failed for me with 'port already in use' on hot reloading and rerunning app.run_server().
Therefore please @alexcjohnson @chriddyp @T4rk1n would you consider releasing the current state?
Thank you
ptr33
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Hey all, sorry for the silence here - weβre actually working to merge this functionality into the main Dash package plotly/dash#2530 - after which this whole package will be obsolete.
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+1 - for the same reason as @jonasvdd & @imichaelmoore
Would really appreciate if any of @alexcjohnson @chriddyp @T4rk1n would consider making a new release π
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@oegedijk This repo has been merged with Dash and is now obsolete. Please use Dash version 2.11.1 instead.
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+1
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+1 - any news on the next release ?
In the mean time, I've been able to download latest master
in a conda environment through the following
conda install pip git
pip install git+https//github.com/plotly/jupyter-dash.git
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+1 - I would love a new release - as I've now fixated the werkzeug
version of predict-idlab/plotly-resampler#123; as hotfix for the port already in use
bug.
However, there is a known security bug in werkzeug<2.2.3
predict-idlab/plotly-resampler#174
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predict-idlab/plotly-resampler#174 is waiting on a test to ensure the newer werkzeug doesn't cause a performance regression. Hopefully it doesn't and will enable a swift release :)
+1 on a new release here too!
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+1
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Is this project still alive?
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+1
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@alexcjohnson in the meantime maybe at least do this release with the fixes? (two minutes of work to help a lot of users, seems like a fine investment?)
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Related Issues (20)
- What are the specific dependencies of Jupyter Dash? HOT 2
- [Bug]
- [Feature Request] Ability to Run Jupyter Dash in a Kernel's Python Environment
- [Bug] Can't restart the jupyter-dash app through rerunning the jupyter cell HOT 1
- Hot reloading and rerunning app.run_server() don't work HOT 3
- typo in getting_started.ipynb HOT 1
- I get the following error: app.run_server(mode="jupyterlab") HOT 2
- Cannot instantiate JupyterDash instance with fresh install HOT 3
- OSError: Address 'http://127.0.0.1:8050' already in use. when using in Jupyter notebook HOT 1
- TLJH version Jupyter starts 0.0.0.0:8050, setting the proxy does not take effect
- `jupyter_mode = inline` fails where `external` and `tab` work HOT 1
- Installing via conda causes "Plugin 'jupyterlab_dash' is already registered." HOT 2
- No module named 'jupyter-dash' HOT 6
- Error 403 HOT 2
- export app data from firebase to google big query
- mode='jupyterlab' not work, but 'inline' works. HOT 1
- `run_server(height=...)` height parameter not work
- Re-define `@app.callback` in jupyter raise error: `Duplicate callback outputs` HOT 1
- I would like to know if there is a way to refresh the jupyter dash server without restarting the kernel HOT 2
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