Jupyter Notebook Native Macos App

So, Jupyter Lab is starting to get really interesting as a day-to-day replacement for standard Jupyter Notebooks and as a python competitor to R’s RStudio IDE. But, while a Jupyter Notebook with its multi-page interface feels right at home in the browser, I feel that as a single page application, Jupyter Lab would work better as a standalone desktop app without all the unwanted “chrome” that comes with the standard web browser. Luckily, the Chrome browser has an application mode that allows it to run with all of the toolbars and unnecessary UI removed. Using this mode will give you back a good deal of screen real estate and make Jupyter Lab feel more like a native application rather than a website running inside of your browser.

To use the application mode of Chrome with Jupyter Lab, you simply need to run the Jupyter Lab server with the --no-browser option to prevent it from popping open the application in your default browser.

Then, copy the URL printed out to the terminal (example below).

And, to open Chrome in application mode with the Jupyter Lab URL, you simply need to call it with the --app=<URL> option and pass the URL you just copied.

Online Jupyter Notebook

On a Mac, the command to do so would look like the following.

A framework for building native macOS apps with React. C 20,779 1,727 117 (18 issues need help) 7 Updated May 9. Jupyter Notebook MIT 5 2 0 8 Updated May 9, 2021. Now run Juputer Notebook (jupter notebook) and select the virtual environment of the notebook (.ipynb file) - You can see the environment is listed and you selected the right environment, but you run the following code and it shows module tensorflow is not found and you can verify that using pip list.

  • Having the possibility to embed Jupyter notebooks in a static website provides lots of advantages, just to mention a few: Visitors don't need to leave the site in other to see the notebook. Visitors can actually interact with the code and see the results live even without knowing how to program.
  • Jan 18, 2018 So, Jupyter Lab is starting to get really interesting as a day-to-day replacement for standard Jupyter Notebooks and as a python competitor to R’s RStudio IDE.But, while a Jupyter Notebook with its multi-page interface feels right at home in the browser, I feel that as a single page application, Jupyter Lab would work better as a standalone desktop app without all the unwanted “chrome.
  • We recommend installing the classic Jupyter Notebook using the conda package manager. Either the miniconda or the miniforge conda distributions include a minimal conda installation. Then you can install the notebook with: conda install -c conda-forge notebook.

Once you run the command, you should see something like the following window pop up.

Notice the distinct lack of any and all toolbars. In fact, the only toolbar that shows up is the set of menus in the Jupyter Lab application.

Jupyter Notebook Native Macos App Pc

Making the change permanent

Now, if running two commands with a few extra options every time you want to open up Jupyter Lab happens to be a bit too much for you, you’re in luck. You can make this behavior permanent by simply modifying the config to change the default browser for Jupyter Lab.

Online jupyter notebook

If you’ve modified your default Jupyter Notebook configuration in the past, you can simply open up the configuration file that already exists (~/.jupyter/jupyter_notebook_config.py) and add the following line to it.

However, if this is your first time ever modifying your Jupyter Notebook configuation, you’ll probably need to generate it first. You can do so with the following command.

After generating the config, simply open up the newly created file and add the browser config line from above. Once you’ve modified the config, you can simply call jupyter lab and the app will open up in a pristine window devoid of all the typical bells and whistles.

Found an error with my analysis or a bug in my code?

Jupiter Notebook Native Macos Apps

Everything on this site is avaliable on GitHub. Head on over and submit an issue. You can also message me directly on Twitter.