![]() ![]() jupyter lab will use new jupyter-server starting with JupyterLab 3.0 unless running on JupyterHub/Binder where it might still be using old notebook server, depending on configuration.jupyter notebook will use the old notebook server.jupyter nbclassic (assuming nbclassic is installed) will use the new jupyter-server.It is important to note that depending on how you start your jupyter notebook, you will see different servers being used: the server extensions need to place their files in a new location: etc/jupyter/jupyter_server_config.d rather than etc/jupyter/jupyter_notebook_config.d (in practice most extensions that were updated to support jupyter server are now placing files in both locations for backward compatibility with notebook, but this will change in the future).users should now use jupyter server extension rather than jupyter serverextension (note the extra space!) to list, enable or disable extensions.the server-specific configuration is now stored in jupyter_server_config.py rather than jupyter_notebook_config.py (same for.the options specific to server rather than notebook were renamed from c.NotebookApp to c.ServerApp (the options specific to notebook remain c.NotebookApp).This implies changes for users and developers, some already described in "migrate from notebook" docs: nbclassic - the Jupyter Notebook as a jupyter-server extension. jupyter-server - the server which was adapted by JuptyterLab, RetroLab, nteract.This also means that if a fix to the server component is needed, it can be released quickly independent of Jupyter Notebook release cycle (and users of all frontents can benefit immediately).Īs a consequence, and to make the break up clean, the old Jupyter Notebook was split into: JupyterLab does not have to depend on notebook. It made sense to split the server component used by all of these so that e.g. multiple proprietary clients developed outside of project Jupyter.However, because there are now multiple clients (frontends) providing different web applications for notebooks: HTML code, javascript, and some extra REST API points on the server). the client (the frontend of the web application, e.g.opening an internet browser on start this part is generally written in Python), and the server for notebooks (the backend of the web application that hosts the notebook contents, proxies interaction with kernels, and interacts with the operating system by e.g.Jupyter Notebook ( notebook module) contains both: ![]()
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