Running remote jupyter notebooks in a local browser window.
Free software: MIT license
conda install -c conda-forge jump
jump REMOTENAMEFor options, type
jump --helpStarting a new notebook server in remote conda environment myenv on a remote machine mycluster
jump mycluster -e myenv --newStarting a new jupyter lab server in remote conda environment myenv on a remote machine mycluster
jump mycluster --lab -e myenv --newConnecting to an existing jupyter server
jump mycluster -e myenvStarting a new notebook server with remote module cuda/9.2 loaded for GPU support
jump mycluster -e myenv --new -m cuda/9.2Killing a notebook server
jump mycluster -e myenv --killOn local (UNIX) machine:
- plumbum and click (are installed by the conda install command)
- ssh
On remote machine:
- anaconda or miniconda
- jupyter notebook (at least installed in one conda environment, jupyter > 5.1 required for the --kill option)
- jupyter lab (to support the
--laboption) - recommended: nb_conda
Windows systems are not supported.
In order to use this script efficiently, it is desirable to have an efficient setup in your ~/.ssh/config file.
Concretely, you should prevent your ssh connection from prompting for a password everytime you rune a local command, like this:
Host *
ControlMaster auto
ControlPath /tmp/ssh_mux_%h_%p_%r
ControlPersist 60m
ServerAliveInterval 90
Furthermore, you will want to set up shortcuts for the servers that you use most often:
Host YOUR_SHORTCUT
HostName FULL_REMOTE_NAME
DynamicForward 8080
User YOUR_USER_NAME_ON_THE_REMOTE`
If you have remotes that require tunneling through a login node, you may also want to define those remotes explicitly:
Host NAME_OF_REMOTE
ProxyCommand ssh FULL_LOGIN_NODE_NAME_OR_SHORTCUT -W %h:%p