# jupyterlab-toc **Repository Path**: voldemort/jupyterlab-toc ## Basic Information - **Project Name**: jupyterlab-toc - **Description**: Table of Contents extension for JupyterLab - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-17 - **Last Updated**: 2022-07-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # jupyterlab-toc [![Binder][badge-binder]][binder] A Table of Contents extension for JupyterLab. This auto-generates a table of contents in the left area when you have a notebook or markdown document open. The entries are clickable, and scroll the document to the heading in question. Here is an animation showing the extension's use, with a notebook from the [Python Data Science Handbook][python-data-science-handbook]: ![Table of Contents](toc.gif 'Table of Contents') ## Prerequisites - JupyterLab >=2.0 - NodeJS 12+ ## Installation ```bash jupyter labextension install @jupyterlab/toc ``` ## Settings Once installed, extension behavior can be modified via the following settings which can be set in JupyterLab's advanced settings editor: - **collapsibleNotebooks**: enable the ability to collapse sections of notebooks from the ToC ## Development For a development install, do the following in the repository directory: ```bash jlpm install jlpm run build jupyter labextension install . ``` You can then run JupyterLab in watch mode to automatically pick up changes to `@jupyterlab/toc`. Open a terminal in the `@jupyterlab/toc` repository directory and enter ```bash jlpm run watch ``` Then launch JupyterLab using ```bash jupyter lab --watch ``` This will automatically recompile `@jupyterlab/toc` upon changes, and JupyterLab will rebuild itself. You should then be able to refresh the page and see your changes. [badge-binder]: https://mybinder.org/badge_logo.svg [binder]: https://mybinder.org/v2/gh/jupyterlab/jupyterlab-toc/master?urlpath=lab%2Ftree%2Fnotebooks%2Fdemo.ipynb [python-data-science-handbook]: https://github.com/jakevdp/PythonDataScienceHandbook