JupyterLab LaTeX
A JupyterLab extension for live-editing of LaTeX documents.
Usage
Compilation
To compile and preview a LaTeX document:
- Open a
.tex document within JupyterLab.
- Use one of the following methods to compile and preview the document:
- Right-click on the document and select
Show LaTeX Preview from the context menu.
- Click the
Preview button in the toolbar at the top of the document.
Both methods will compile the .tex file and open the rendered PDF document. Subsequent saves of the file will automatically update the PDF. If the PDF fails to compile (possibly due to a syntax error), an error panel will open detailing the LaTeX error.
Writing Tools
A toolbar menu at the top of the document provides shortcuts to common LaTeX editing tasks:
Text Formatting
- Subscript: Highlight the text you want to subscript and click the
Xᵧ button. If no text is highlighted, an input dialog will appear for you to enter the subscript.
- Superscript: Highlight the text you want to superscript and click the
Xⁿ button. If no text is highlighted, an input dialog will appear for you to enter the superscript.
- Bold: Highlight the text you want to format in bold and click the
B button.
- Italic: Highlight the text you want to format in italics and click the
I button.
- Underline: Highlight the text you want to underline and click the
U button.
Text Layout
- Left Align: Highlight the text you want to align left and click the left alignment button.
- Center Align: Highlight the text you want to center align and click the center alignment button.
- Right Align: Highlight the text you want to align right and click the right alignment button.
Lists
- Bullet List: Click the bullet list button to insert a bullet list.
- Numbered List: Click the numbered list button to insert a numbered list.
Tables and Plots
- Table Creation GUI: Click the table button to open a dialog for creating a table with a specified number of rows and columns.
- Add Plot: Click the plot button to select a plot type and insert it into your document. Available plot types include:
- Simple function plot
- Plot from file
- Scatter plot
- Bar graphs
- Contour plot
- Parametric plot
Error Handling
- Error Log Filtering Options: Enhanced error log filtering options to help you quickly identify and resolve issues.
Main Menu Helpers
- Constant Menu: Quickly insert common mathematical constants.
- Symbol Menu: Easily insert various mathematical symbols.
For more advanced usage documentation, see here.
Requirements
- JupyterLab >= 4.0
- older versions are supported in previous releases available on PyPI and npm, check releases
- Python >= 3.8
- An application that can compile
.tex files to PDF (e.g., pdflatex, xelatex; use pdflatex.exe on Windows with MiKTeX). This application must be available as a command in the same environment as the notebook server.
- An application that can process
.bib files for producing bibliographies. As with the LaTeX command, this must be available in the same environment as the notebook server.
Installation
This extension includes both a notebook server extension (which interfaces with the LaTeX compiler)
and a lab extension (which provides the UI for the LaTeX preview).
The Python package named jupyterlab-latex provides both of them as a prebuilt extension.
To install the extension, run the following in your terminal:
Check installation
To ensure that extension is properly installed, you could check server and lab extensions:
jupyter server extension list
and see the block like this in the output
jupyterlab_latex enabled
- Validating jupyterlab_latex...
Package jupyterlab_latex took 0.0010s to import
jupyterlab_latex 4.1.3 OK
then
jupyter labextension list
and see the block like this in the output
@jupyterlab/latex v4.1.3 enabled OK (python, jupyterlab-latex)
Customization
The extension defaults to running the xelatex engine on the server.
This command may be customized (e.g., to use pdflatex instead) by customizing
your jupyter_notebook_config.py file:
c.LatexConfig.latex_command = 'pdflatex'
The above configuration will compile a LaTeX document using the common predefined flags and options such as -interaction -halt-on-error, -file-line-error, -synctex. For more control over the command sequence, check the Manual Command Arguments configuration.
The extension defaults to running bibtex for generating a bibliography
if a .bib file is found. You can also configure the bibliography command
by setting
c.LatexConfig.bib_command = '<custom_bib_command>'
New in 4.2.0: BibTeX compilation is skipped if the following conditions are present:
c.LatexConfig.disable_bibtex is explicitly set to True in the jupyter_notebook_config.py file- There are no .bib files found in the folder
To render references (\ref{...}), such as equation or chapter numbers, you would
need to compile in multiple passes by setting
c.LatexConfig.run_times = 2
New in 4.2.0: Manual Compile Command
For more advanced customizations, a complete command sequence can be specified using the manual_cmd_args configuration in the jupyter_notebook_config.py file. This allows to define the exact command and use options the extension will finally execute:
c.LatexConfig.manual_cmd_args = [
'lualatex', # Specify the LaTeX engine (e.g., lualatex, pdflatex)
'-interaction=nonstopmode', # Continue compilation without stopping for errors
'-halt-on-error', # Stop compilation at the first error
'-file-line-error', # Print file and line number for errors
'-shell-escape', # Enable shell escape
'-synctex=1', # Enable SyncTeX for editor synchronization
'{filename}.tex' # Placeholder for the input file name
]
The only supported placeholder in the manual compile command is {filename}. It will be replaced by the name of the LaTeX file during compilation.
Additional tags and options can also be added to edit configuration values.
New in 4.2.0: Tectonic Engine Support
The extension now also supports the Tectonic engine for compiling LaTeX files. To use Tectonic as the default LaTeX engine cutomize the jupyter_notebook_config.py file:
c.LatexConfig.latex_command = 'tectonic'
The default command sequence for Tectonic generates the output file in pdf format and uses the available SyncTeX flag.
For advanced control over Tectonic, specify options in the manual_cmd_args setting:
c.LatexConfig.manual_cmd_args = [
'tectonic',
'--outfmt=pdf', # Output format as PDF
'--synctex=1', # Enable SyncTeX for editor synchronization
'--outdir', # The directory in which to place output files
'--keep-logs', # Keep the log files generated during processing
'{filename}.tex' # Input .tex file
]
Security and customizing shell escapes
LaTeX files have the ability to run arbitrary code by triggering external
shell commands. This is a security risk, and so most LaTeX distributions
restrict the commands that you can run in the shell.
You can customize the behavior by setting the LatexConfig.shell_escape value.
It can take three values: "restricted" (default) to allow only commands
considered safe to be executed, "allow" to allow all commands, and "disallow"
to disallow all commands.
For example, to force your LaTeX distribution to run any command, use:
c.LatexConfig.shell_escape = "allow"
Contributing
If you would like to contribute to the project, please read our contributor documentation.
JupyterLab follows the official Jupyter Code of Conduct.
Development install
Note: You will need NodeJS to build the extension package.
The jlpm command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn or npm in lieu of jlpm below.
To simplify the development setup, you can use the following Conda environment:
conda create -n jupyterlab-latex-env -c conda-forge python=3.10 jupyterlab=4.0.0 hatchling=1.17.0 nodejs=18
conda activate jupyterlab-latex-env
# Clone the repo to your local environment
git clone https://github.com/jupyterlab/jupyterlab-latex.git
# Change directory to the jupyterlab-latex directory
cd jupyterlab-latex
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable jupyterlab_latex
# Rebuild extension Typescript source after making changes
jlpm run build
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.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
Changes
For information on the changes with different versions of the jupyterlab-latex library, see our changelog.
