Yes, via Jupyter notebooks -- using the same machinery that gives the 'File > Export Notebook As...' functionality.
My method is roughly this:
1. Create a Python package that subclasses nbconvert.exporters.LatexExporter -- in the setup.py you register the class to 'nbconvert.exporters' in the 'entry_points' dict.
2. You can do general filtering/compiling by registering 'Exporter.filters'. The compile process can be modified by implementing a custom 'from_notebook_node()'
3. You can include a folder containing jinja template(s) in the package to implement whatever styling you want
4. I have some standard metadata that I pull from the notebook/cell metadata (using the standard Jupyter/lab frontend metadata sidebar) to define things like document titles, authors, etc.
5. Do the conversion like: jupyter nbconvert --to=myfancyexportformat notebook.ipynb
Wow someone use the features I wrote years ago ! <3 You might want to submit a blog post to Jupyter.org to show that this is possible and make it more known.
Never had the opportunity to really document it, so thinks for finding it; I would have hoped for a much wider variety of exporter to be published. I'm still happy about the "pip install package" --to=qualname. I thin you can hardly make it simpler.
My method is roughly this:
1. Create a Python package that subclasses nbconvert.exporters.LatexExporter -- in the setup.py you register the class to 'nbconvert.exporters' in the 'entry_points' dict.
2. You can do general filtering/compiling by registering 'Exporter.filters'. The compile process can be modified by implementing a custom 'from_notebook_node()'
3. You can include a folder containing jinja template(s) in the package to implement whatever styling you want
4. I have some standard metadata that I pull from the notebook/cell metadata (using the standard Jupyter/lab frontend metadata sidebar) to define things like document titles, authors, etc.
5. Do the conversion like: jupyter nbconvert --to=myfancyexportformat notebook.ipynb