Advanced options

Metadata filtering

The metadata that is included in the text notebooks is governed by the two options notebook_metadata_filter and cell_metadata_filter. The default value for these options are

  • notebook_metadata_filter="kernelspec,jupytext", i.e. by default, only the Jupytext and the kernel metadata are included:

  • cell_metadata_filter=all,-autoscroll,-collapsed,-scrolled,-trusted,-ExecuteTime, i.e. by default all the cell metadata are included, except those listed with a negative sign.

Suppose you want to keep all the notebook metadata but widgets and varInspector in the YAML header, and that for cell metadata, you want to allow ExecuteTime and autoscroll, but not hide_output. Then, you could either add


to your jupytext.toml file, or set these options for one notebook using the Jupytext CLI with

jupytext --opt notebook_metadata_filter=all,-widgets,-varInspector --opt cell_metadata_filter=ExecuteTime,autoscroll,-hide_output

If you wanted no notebook or cell metadata at all in the text notebooks, you could add this to your jupytext.toml file:


It is possible to filter nested metadata - use a dot to represent the nested fields. For example, if you wanted to include the Jupytext metadata, but not the Jupytext version number, you can use:


Finally, note that you can hide the notebook metadata in an HTML comment in .md files - just set hide_notebook_metadata=true either at the command line or in the jupytext.toml file.

Magic commands

In the percent and light script formats, magic commands (Jupyter commands prefixed by % or %%) are commented out in scripts. You can change this by using the comment_magics option, either in the jupytext.toml file or at the command line with jupytext --opt.

Active and inactive cells

You might want to make some cell active only when the notebook is run in Jupyter, or active only when the .py file is interpreted by Python. To do so, add an active-ipynb tag to the cells that should only be executed in the .ipynb file, and an active-py tag to the cells that should be executed only in the Python script.

More options

There are a couple more options available - please have a look at the JupytextConfiguration class in