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How to connect to AWS Neptune graph-notebook from JupyterLab?

I followed the steps in - https://github.com/aws/graph-notebook , and I was able to run the magic commands from my Mac. But I need to get this configured in JupyterLab.
Here is what I did:
Created a new conda env in JupyterLab
Installed all required packages in conda env
When i run the magic commands like %status, I get "UsageError: Line magic function %status not found.". Please note that ipython, graph-notebook and all required libraries are installed in conda environment.
I skipped the last step in the instruction - python -m graph_notebook.start_notebook --notebooks-dir ~/notebook/destination/dir. Running this created a new notebook, which Im unable to access. (Note: JupyterLab is in remote server)
I want to connect to AWS Neptune and visualize graphs in JupyterLab using gremlin queries/magic commands.

Currently, graph-notebook only supports Jupyter not JupyterLabs, so you will not be able to use the notebook widgets. There is an open issue on adding support for this, so please +1 this feature request, so we can help prioritize this work. https://github.com/aws/graph-notebook/issues/55

How can I get a Jupyter Notebook to see the modules in the environment that it was opened in?

I am attempting to import cartopy into a notebook but am running into issues. If I do a "conda install cartopy" in my base environment, I get the frozen/flexible solve issue (https://github.com/conda/conda/issues/9367). When I open a new environment and do a "conda install cartopy", it seems like everything works. "conda list" shows version 0.18.0 in that environment. Then I open a Jupyter Notebook from within that environment and try to import it into the notebook but originally got the response "no module named cartopy". I tried fiddling with my environments and settings based on feedback on this page (In which conda environment is Jupyter executing?), but now the error is "no module named numpy"! Can someone please help me understand why the notebook isn't seeing these modules? Thank you.

Are you certain that numpy is installed in this new environment?
Given that you are using the Anaconda distribution of Python, you should be able to view/configure your environment and it's installed modules using the Anaconda Navigator. Here you can see a full list of all installed modules, and via the terminal/console, launch a Jupyter Notebook from not only within a specific environment, but within a specific directory!
On the left hand side, you can choose the environment that you want to use to start Jupyter Notebook, and on the right you can view all of the installed modules in that environment. Make sure that jupyter, numpy, and cartopy are all listed as installed packages.
To make sure that I am launching Jupyter from my desired environment, I always launch it directly from the terminal. I "Open Terminal" with my environment, "cd" into the directory that I want to use, and then use the jupyter notebook or jupyter lab command.

pip3 install of Jupyter and Notebook problem when running

I have tried all of the things here on stack and on other sites with no joy...
I'd appreciate any suggestions please.
I have installed Jupyter and Notebook using pip3 - please note that I have updated pip3 before doing so.
However when trying to check the version of both jupyter --version and notebook --version my terminal is returning no command found. I have also tried to run jupyter, notebook and jupyter notebook and I am still getting the same message.
I have spent nearly two days now trying to sort this out... I'm on the verge of giving up.
I have a feeling it has something to do with my PATH variable maybe not pointing to where the jupyter executable is stored but I don't know how to find out where notebook and jupyter are stored on my system.
many thanks in advance
Bobby

You should be able to run jupyter with python -m even if the PATH variable is not set up correctly.
python -m jupyter notebook
you can check the PATH variables on Windows if you search in with the windows search function for env and then click on Edit the system environment variables > Environment Variables....
The path variable is a list of paths that the terminal checks for commands.
I didn`t work on Mac for a long time, so not sure how similar linux and mac command line still are, but on debian you control your path variable like this.
View paths:
echo $PATH
/usr/local/bin:/usr/bin:/bin
Add a path:
export PATH=$PATH:/mynewpath
For constant export add to ~/.bashrc
To view the path of the pip package, you can use
pip3 show jupyter
When jupyter-notebook works and jupyter notebook does not. It looks to me like a symlink thing. Or a Mac-specific problem.

So to summarise this is what I have found on this issue (in my experience):
to run the jupyter app you can use the jupyter-notebook command and this works, but why? This is because, the jupyter-notebook is stored in usr/local/bin which is normally always stored in the PATH variable.
I then discovered that the jupyter notebook or jupyter --version command will now work if I did the following:
open my ./bash_profile file
add the following to the bottom of the file: export PATH=$PATH:/Users/your-home-directory/Library/Python/3.7/bin
this should add the location of where jupyter is located to your path variable.
Alternatively, as suggested by #HackLab we can also do the following:
python3 -m jupyter notebook
Hopefully, this will give anyone else having the same issues I had an easier time resolving this issue.

I've found a solution from the documentation over at Jupyter https://jupyter-notebook.readthedocs.io/en/stable/troubleshooting.html but I am still curious.
It states that to run the application to use the command jupyter-notebook and hey-presto! It does seem to work now. But, why is this when nearly everywhere else I have read that to run the app we just type the command jupyter notebook.
Also, if I do need to check the version of any of the Jupyter files how do I go about this now, if jupyter --version and notebook --version still don't work.
Also, how do I go about finding these files in my file system if I have no idea where they are located? And how do I go about adding these to my path so that I can, for example, check the version of these programs?
Will pip3 automatically update this software as and when needed?
Thanks again in advance

have you tried locate Jupiter? It may tell you where jupyter is on your system.
Also, why not try installing jupyter via anaconda to avoid the hassle?

I definitely would recommend going through anaconda which makes everything a lot easier.
The following is the link with step by step instructions: https://jupyter.readthedocs.io/en/latest/install.html

Just installed Jupyter using Anaconda but can't run it using terminal. Says command not found

I just bought my very first Mac after using Windows my entire life and have been trying to install things. I am also still kind of a beginner at programming.
I installed Anaconda for Python 2.7 version, and then I installed the 3.7 version right after.
I tried going to terminal and typing jupyter notebook but it says:
zsh: command not found: jupyter
I am able to launch a jupyter notebook (I think) when I search for jupyter notebook in spotlight and executing the top hit.
I've been reading a lot on forums about this issue and see a lot of people talking about PATH which I am not really sure about.
I've seen people also post their which python information and theirs seem very different from mine:
which python3
usr/bin/python3
which python
usr/bin/python
Any help would be appreciated! Still learning how to set up this Mac. Thank you.

You might want to refer to this link https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html
3.1.2. Change Jupyter Notebook startup folder (Mac OS)
To launch Jupyter Notebook App:
Click on spotlight, type terminal to open a terminal window.
Enter the startup folder by typing cd /some_folder_name.
Type jupyter notebook to launch the Jupyter Notebook App The notebook interface will appear in a new browser window or tab.
From what I can understand you are not changing to the startup directory of Jupyter.

You need to add jupyter to your path.
In your terminal, type in the following command:
export PATH="/PUT JUPYTER PATH HERE:$PATH"
Then try jupyter notebook
Reasoning: If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab

Pycharm jupyter notebook wsl: Jupyter package is not installed

I would like to use Jupyter notebook inside Pycharm. The project interpreter is a python2.7 from a virtual environment inside WSL (ubuntu 18.04).
The Jupiter package is correctly installed inside the virtual environment (I can run it by jupyter notebook).
My problem is that when I want to use Jupyter notebook inside Pycharm, I get the following error: Run Error Jupyter package is not installed (see picture).
Any idea what's going on here?

I had this problem in Python 3. Below are the steps I took to resolve the issue; I believe they should resolve the issue for you too:
I had Jupyter Lab installed. Pycharm only works with Jupyter Notebook. Long story short, if you have Jupyter Lab installed you need to uninstall all your packages using:
$ pip freeze | xargs pip uninstall -y
Restart your computer
Follow Jupyter Notebook installation instructions
Make sure WSL is set up through pycharm instructions: wsl pycharm instructions
In Pycharm, open an .ipynb file. Click the dropdown that says "Managed Jupyter server" It's right above the text editor. Select "configure Jupyter server". Check configured server.
In your wsl terminal, type jupyter notebook. Copy and paste the text that looks like: http://localhost:8888/?token=874asdf687asd6fasd8f74ds6f4s9d8f7sddf into the cofigured server box in Pycharm.
That's it. You should be able to run the jupyter cells in pycharm now.

I have Pycharm 2020.3 For me the issue was I was using a virtual environment with "inherit global site packages." I had Jupyter installed in global site packages but NOT the virtual environment.
Once I installed Jupyter within the virtual environment Jupyter notebook worked. Not sure why inheriting Jupyter from global packages wasn't working for me.

The above solution using a designated url with token seems to work with older versions of PyCharm. A simpler solution is to upgrade to the latest PyCharm. I no longer had an issue with the auto server using PyCharm 2019.3.2 (Mac)

I had this problem with Datalore plugin enabled on 2020.2 linux, running on bare metal but displaying to a remote X server (probably doesn't matter). My solution was to disable the Datalore plugin (it's enabled for professional pycharm by default).
This way I was still able to use the "managed" auto-start version with better integration / debugging vs the "configured" option (or at least with less hassle).
Note since it's been a year, my problem is probably different than OP.

This happened for me, when the interpreter was a remote one. I fixed this by changing the interpreter to one from a local env.
This can be done by selecting the Configure Jupyter Server.

I also meet this problem,and i solved it
i create the new project with the global sit-packages like below
then i meet the problem
i create the new project with no global sit-packages and install jupyter notebook in the virtualenv
then the problem is gone