You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension. # Rebuild extension Typescript source after making changes # Link your development version of the extension with JupyterLab # Clone the repo to your local environment # Change directory to the cloned jupyterlab-myst directory # Install package in development mode The jlpm command is JupyterLab's pinned version of Note: You will need NodeJS to build the extension package. To remove the extension, execute: pip uninstall jupyterlab_myst This can be disabled with jupyter server extension disable jupyterlab-mystīy disabling this extension, it will not be possible to render unsafe expression results from inline expressions the MySTNotebookNotary adds additional code that makes it possible to mark Markdown cells as trusted. To facilitate this extension of the trust model, the jupyterlab_myst server extension replaces the NotebookNotary from nbformat with MySTNotebookNotary. Like outputs, expression results are rendered using safe renderers if the cell is not considered trusted.Įxecuting the notebook will cause each cell to be considered trusted. Any Markdown cell with inline-expression metadata (with display data) is considered "untrusted". With the addition of inline expressions, Markdown cells are now considered when determining whether a given notebook is "trusted". Jupyter Notebooks implement a trust-based security model. To disable this functionality, disable the jupyterlab-myst:executor plugin with: jupyter labextension disable jupyterlab-myst:executor This plugin sends expression code fragments to the active kernel when the user "executes" a Markdown cell. To facilitate inline expressions, jupyterlab-myst defines a jupyterlab-myst:executor plugin. To enable legacy mode, disable the jupyterlab-myst:plugin plugin with: jupyter labextension disable jupyterlab-myst:plugin Whilst this extension is in a pre-release state, there is also a "legacy mode" that integrates MyST rendering as an additional Open With option that does not replace the default notebook renderer. This means that MyST notebook rendering works out-of-the-box with Jupytext and other notebook-aware extensions. Restore default renderer :notebook:īy default, the MyST renderer becomes the default notebook renderer. This extension for JupyterLab makes it easier to develop rich, computational narratives, technical documentation, and open scientific communication. MyST is a flavour of Markdown, which combines the fluid experience of writing Markdown with the programmable extensibility of reStructuredText. You can also edit tasklists directly in the rendered markdown. Or with matplotlib to show inline spark-lines: You can also use this with ipywidgets, and have inline interactive text: We can compute the total: 6 and the maximum value is 3. This will evaluate inline, and show: Let's consider the following array: array(). Jupyterlab-myst is a fully featured markdown renderer for technical documents, get started with MyST Markdown. To install the extension, execute: pip install jupyterlab_myst Note: If you are looking for the version of this repository based on jupyterlab-markup, Render markdown cells using MyST Markdown, including support for rich frontmatter, interactive references, admonitions, figure numbering, tabs, cards, and grids!
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