NeSI is planing to provide a service for working on Jupyter Notebooks. As a first step JupyterLab is provided. This is a single-user web-based Notebook server, running in the user space. JupyterLab server should be started on a login or virtual lab node. The server then can be reached from your local browser using port forwarding. The procedure is described in the following 3 steps:


The following JupyterLab kernel are installed:

  • Python3
  • R  (requires module load IRkernel)


Launch the JupyterLab server 

JupyterLab is provided as part of Anaconda3. If you want to use additional kernels you may need additional modules, e.g. IRkernel for R kernel:

module load Anaconda3
module load IRkernel # optional

The JupyterLab server can be started using:jupyter lab --port 15051 --no-browser

The --no-browser option prevents JupyterLab from trying to open a browser on the compute/login node side. The --port option specify a number related to this process or network service. This port ID need to be unique to the process on the present machine. The default port for JupyterLab is 8888. If this port is already in use, JupyterLab will automatically choose another port.

To avoid the need to modify the procedure below, we suggest to (once) select a unique number (between 2000 and 65000). Here we choose 15051 (please select another number). This port number will also be required in the next steps.

For computational or memory intensive tasks please run your notebook on a compute node. Therefore, we provide a short script which takes care of the port forwarding to the compute node and launches jupyter lab:

srun -n 1 -t 60  jupyter-compute 15051  # please change port number

After initial notes Jupyter outputs a URL with a unique key and the network port number where the web-server is listening, similar to:

[C 14:03:19.911 LabApp]
  To access the notebook, open this file in a browser:
  Or copy and paste one of these URLs:


  • A non-default port can be selected using the --port option. Thus you could avoid getting varying ports And can use you port forwarding configuration without modifications.
    jupyter lab --port 15051 --no-browser
    Please select a different port number than this.


Setup SSH port forwarding 

An additional ssh session with port forwarding needs to be established from your local machine. In the command the local and the remote port need to be specified. For simplicity reason we keep them the same (here 8888) as specified by JupyterLab server (see above)

Linux/MacOS and Ubuntu Terminal (Windows10) 

The ssh command need to be called with following arguments (-N optional), e.g. for Mahuika:

ssh -N -L 15051:localhost:15051 mahuika



  • For Maui_Ancil, e.g. w-mauivlab01 you may want to add the following to your .ssh/config to avoid multi hop access.
    Host maui_vlab
       User <username>
       Hostname login.mahuika.nesi.org.nz
       ProxyCommand ssh -W %h:%p maui
       ForwardX11 yes
       ForwardX11Trusted yes
       ServerAliveInterval 300
       ServerAliveCountMax 2
    <username> needs to be changed. Hostnames can be adapted for other nodes, e.g. w-clim01


  • I you get a error message
    bind: No such file or directory
    unix_listener: cannot bind to path: 
    try creating the following directory:
    mkdir -P ~/.ssh/sockets


MobaXterm (Windows) 


  • MobaXterm has a internal terminal which acts like a linux terminal and can be configured as described in the Standard Terminal Setup. Therewith the command above can be used.

MobaXterm has a GUI to setup and launch sessions with port forwarding, click 'Tools > MobaSSH Thunnel (port forwarding)':

  • specify the lander02.nesi.org.nz as SSH server address (right, lower box, first line)
  • specify your user name (right, lower box, second line)
  • specify the remote server address, e.g. login.mahuika.nesi.org.nz  (right, upper box first line)
  • specify the JupyterLab port number on the local side (left) and at the remote server (right upper box, second line)
  • Save



JupyterLab in your local browser 

Finally, you need to open your local web browser and copy and paste the URL specified by the JupyterLab server into the address bar. After initializing Jupyter Lab you should see a page similar to:


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