Configuring Jupyter notebooks to be shared across multiple servers

Question

Configuring Jupyter notebooks to be shared across multiple servers

Working in an environment with multiple servers, I want to streamline my .jupyter configuration across all servers without the hassle of manual synchronization. Fortunately, this can be easily accomplished by setting the JUPYTER_CONFIG_DIR environment variable to a shared location.

My goal is to have distinct CSS style sheets for each server to clearly differentiate between them. For instance, I envision having a red background on the first server:

#notebook { background: red; }

and a blue background on the second server.

#notebook { background: blue; }

I initially considered adding different paths to the extra_static_paths based on the hostname of the Jupyter server. However, the notebook's HTML specifically searches for custom/custom.css while files referenced by extra_static_paths are from static/..., making it impossible to replace the custom css file using this method.

Is there a more effective approach to achieve this customization?

css jupyter-notebook

Answer 1

Answer №1

~~Using profiles may achieve this, but there is a lack of documentation on the topic.~~

UPDATE: After further research from this source, it appears that profiles have been removed since jupyter 4.x. Unless you are willing to manage shared directories and files through bash scripting, the only solution seems to be using an alternative method.

One possible workaround is to utilize the Stylish browser extension. Personally, I find it convenient for quickly switching between the default white theme and a darker one in the notebook.

Functionality of Stylish

Essentially, Stylish injects custom CSS into pages based on specified rules within a theme. You can create your own CSS themes or download them from their platform. For example, I am currently employing this particular theme for jupyter notebooks which matches specific rules:

url-prefix("http://localhost:8888/"), 
url-prefix("http://127.0.0.1:8888/"),
url-prefix("http://localhost:8889/"),
url-prefix("http://localhost:8890/")

You can duplicate this theme and assign each one to match a single port, corresponding to the desired server where it should be applied. By starting your servers with the --port=xxxx option, you can easily implement different themes for each.

^{1 -- Although changing the notebook's theme by placing a custom CSS file in the jupyter's config directory is achievable, doing so requires manual file replacements every time you want to switch. With Stylish, this change is just 1 click away.}

Answer 2

~~Using profiles may achieve this, but there is a lack of documentation on the topic.~~

UPDATE: After further research from this source, it appears that profiles have been removed since jupyter 4.x. Unless you are willing to manage shared directories and files through bash scripting, the only solution seems to be using an alternative method.

One possible workaround is to utilize the Stylish browser extension. Personally, I find it convenient for quickly switching between the default white theme and a darker one in the notebook.

Functionality of Stylish

Essentially, Stylish injects custom CSS into pages based on specified rules within a theme. You can create your own CSS themes or download them from their platform. For example, I am currently employing this particular theme for jupyter notebooks which matches specific rules:

url-prefix("http://localhost:8888/"), 
url-prefix("http://127.0.0.1:8888/"),
url-prefix("http://localhost:8889/"),
url-prefix("http://localhost:8890/")

You can duplicate this theme and assign each one to match a single port, corresponding to the desired server where it should be applied. By starting your servers with the --port=xxxx option, you can easily implement different themes for each.

^{1 -- Although changing the notebook's theme by placing a custom CSS file in the jupyter's config directory is achievable, doing so requires manual file replacements every time you want to switch. With Stylish, this change is just 1 click away.}

Configuring Jupyter notebooks to be shared across multiple servers

Answer №1

Functionality of Stylish

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