Save and load notebooks to local-storage
Jupyter Offline Notebook
Save and load notebooks to browser storage, even if you've lost your connection to the server.
pip install jupyter-offlinenotebook
This should automatically enable the extension on Jupyter Notebook and JupyterLab.
This extension supports JupyterLab 3 and 4, and NBclassic. Use version 0.2.2 for JupyterLab 2 and Notebook <7.
You should see up to five new buttons depending on your configuration and where you are running the notebook:
- download the in-memory (browser) state of the notebook
- save the in-memory state of the notebook to local-storage
- load a notebook from local-storage
- open the permanent URL of the repository containing this notebook
- copy the permanent mybinder URL to share this repository
Saving and loading uses the repository ID and the path of the current notebook.
You should always see the
If you are running this on mybinder all buttons should be visible.
See the configuration section below to enable the other buttons on other systems.
This extension can be configured in
jupyter_notebook_config.py by setting the following properties of
repository_id: A callable that returns the repository ID. This is used when storing and retrieving notebooks. Default is the value of the
repository_ref_url: A callable that returns the repository reference URL. Default is the value of the
binder_persistent_url: A callable that returns the repository reference URL. Default is the values of the
binder_repo_label: A callable that returns the label used to link to the repository.
This extension is still in development. It is only tested on Firefox. Breaking changes may occur in future.
There are several major limitations including:
- Local-storage is limited by quotas imposed by the browser.
- A repository ID and path of the notebook within Jupyter Notebook are used, joined by a
One server API call is made during initialisation to obtain the storage configuration. Everything else is done client-side so should work even if the server is disconnected.
The CI pipeline builds the extension with JupyterLab 4, but the build package works with JupyterLab 3 and NBclassic. Install the development dependencies:
pip install -r dev-requirements-jl4.txt
To build and install the development version:
pip install .
This automatically runs
The notebook and server extensions should be automatically enabled.
JupyterLab 3+ supports the installation of extensions as a static package so no further steps are required.
To test that the binder and repo buttons work when developing locally set some placeholder environment variables, e.g.:
BINDER_LAUNCH_HOST=http://localhost BINDER_REPO_URL=http://localhost BINDER_PERSISTENT_REQUEST=v2/gh/repo BINDER_REF_URL=http://localhost jupyter-lab --debug
If you make any changes remember to run all linters and auto-formatters:
pre-commit run -a
jlpm run format
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